CITATIONS 1. Harald Kosch and Mario Dφller, Approximating the selectivity of multimedia range queries, In Proceedings of the IEEE International Conference on Multimedia & Expo, July 2005, Amsterdam (The Netherlands). 2. Hyunjin Shin and Mia K. Markey, A machine learning perspective on the development of clinical decision support systems utilizing mass spectra of blood samples, Journal of Biomedical Informatics, Volume 39 , Issue 2 (April 2006), Pages: 227 - 248. 3. Technical Report of SIMDAT Project no.: 511438, Data Grids for Process and Product Development using Numerical Simulation and Knowledge Discovery, 2005. 4. Alfio Massimiliano Gliozzo, Claudio Giuliano and Raffaella Rinaldi. "Instance Filtering for Entity Recognition", in ACM SIGKDD Explorations, special Issue on Natural Language Processing and Text Mining, 7(1), pp. 11-18, June 2005. 5. Grinaldo Oliveira, Manoel Mendonça, ExperText: Uma Ferramenta de Combinação de Múltiplos Classificadores Naive Bayes, 4th Ibero-American Symposium on Software Engineering and Knowledge Engineering (JIISIC'04), pp. 317-332. 6. Martin Constam, Dynamische Regelung inkrementeller Algorithmen unter dem Einfluss von Concept Drifts, Diplomarbeit in Wirtschaftsinformatik, Institut fur Informatik, Universitat Zurich. 7. Edwige Fangseu Badjio and Francois Poulet, Dimension Reduction for Visual Data Mining, Applied Stochastic Models and Data Analysis (ASMDA 2005), pp. 266-275. 8. Kang, P., Cho, S., Lee, H. (2004), Ensemble Technique for Data Imbalance Problem, Korean Data mining Society Conference. 9. A. Shahib, R Breitling and D. Gilbert, Franksum: New Feature Selection Method for Protein Function Prediction, International Journal of Neural Systems, Vol. 15, No. 4 (2005) 259–275. 10. Cory McKay, Rebecca Fiebrink, Daniel McEnnis, Beinan Li & Ichiro Fujinaga - Ace: A Framework For Optimizing Music Classification, 6th International Conference on Music Information Retrieval ISMIR 2005, 42-49. 11. Cory McKay, Daniel McEnnis, Rebecca Fiebrink, Beinan Li & Ichiro Fujinaga - ACE: A General-Purpose Classification Optimization Framework, International Computer Music Conference 2005, poster paper. 12. Sakkopoulos, E., Kanellopoulos, D. and Tsakalidis, A. (2006) ‘Semantic mining and web service discovery techniques for media resources management’, Int. J. Metadata, Semantics and Ontologies, Vol. 1, No. 1, pp.66–75. 13. Lili Sun, Prakash P. Shenoy, Using Bayesian Networks for Bankruptcy Prediction: Some Methodological Issues, Journal of Operational Research, 180(2), 2007, 738-753. 14. Wilhelmiina Hamalainen, Descriptive and Predictive Modelling Techniques for Educational Technology, Licentiate thesis 16th March 2006 Department of Computer Science University of Joensuu. 15. NASA Scientific and Technical Aerospace Reports, Volume 13 (1). 16. Jason A. Wong, Combining Multiple Machine Learners Using Bureaucratic and Democratic Meta-Models, ECE492Q Machine Learning Conference Papers. November 26, 2005. 17. Dimitris Kalles, Christos Pierrakeas, Analyzing Student Performance in Distance Learning with Genetic Algorithms and Decision Trees, Applied Artificial Intelligence, Volume 20, Issue 8, Oct 2006, Pages 655 - 674

18. Thanasis Hadzilacos, Dimitris Kalles, Christos Pierrakeas, Michalis Xenos: On Small Data Sets Revealing Big Differences. SETN 2006: 512-515. 19. Boris Berecek, Redukcija Dimenzionalnosti Temeljena Na Svd-U I Algoritmi Grupiranja Podataka, Diplomski Rad Br. 1552, Sveuciliste U Zagrebu Fakultet Elektrotehnike I Racunarstva, Zagreb, Rujan 2005. 20. D. Kalles and C. Pierrakeas. “Using Genetic Algorithms and Decision Trees for a posteriori Analysis and Evaluation of Tutoring Practices based on Student Failure Models”, 3rd IFIP Conference on Artificial Intelligence Applications and Innovations, Athens, Greece, 2006. 21. Arie Ben-David, Leon Sterling, Generating rules from examples of human multiattribute decision making should be simple, Expert Systems with Applications, Volume 31, Issue 2, August 2006, Pages 390-396. 22. William Andreopoulos, Clustering Algorithms for Categorical Data, PhD dissertation, Graduate Programme in Computer Science and Engineering, York University, Toronto, Ontario, August 2006. 23. Biswas, D., Narayanan, B., Sundararajan, R., Metrics for model selection in consumer finance problems, Volume 3809 LNAI, 2005, Pages 1289-1294. 24. Roy, S., Bhattacharyya, D.K., An approach to find embedded clusters using density based techniques, Volume 3816 LNCS, 2005, Pages 523-535. 25. McKay, C. 2005. Automatic music classification and similarity analysis. TR-Course Paper. Université de Montreal, Canada. 26. Yi Li, Baochang Zhang, Shiguang Shan, Xilin Chen,Wen Gao. Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition. Proceeding of International Conference on Pattern Recognition ICPR2006. (poster paper) 27. Geraldo L. B. Ramalho, Fatima N. S. Medeiros, "Using Boosting to Improve Oil Spill Detection in SAR Images," icpr , pp. 1066-1069, 2006. 28. Razib M. Othman, Safaai Deris, Rosli M. Illias, Zalmiyah Zakaria, and Saberi M. Mohamad. Automatic Clustering of Gene Ontology by Genetic Algorithm, International Journal of Information Technology, Vol. 3(1), 2006, pp. 37-46 29. ZHANG Zhen-ya, CHENG Hong-mei, Normalize TextCC's input vector based on stereographic projection, JOURNAL OF HARBIN ENGINEERING UNIVERSITY 2006 Vol.27 No.1 P.13-17. 30. Reynolds, R.G. Bin Peng Alomari, R.S., Cultural Evolution of Ensemble Learning for Problem Solving, Evolutionary Computation, 2006. CEC 2006, 1119- 1126. 31. Michael M. Groat, "Using Fuzzy K-Modes to Analyze Patterns of System Calls for Intrusion Detection," Master of Science in Computer Science, The Department of Mathematics and Computer Science California State University, East Bay, 2005. 32. Xuefeng Zhang, Peng Liu, Jinjin Fan, The Improvement of Naïve Bayesian Classifier Based on the Strategy of Fuzzy Feature Selection, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) pp. 377-384. 33. FP6-027026, K-Space ID4.1: State-of-the-art Report on Knowledge Assisted Multimedia Analysis. 34. Clodis Boscarioli, Leandro Augusto da Silva, Emílio Del Moral Hernandez, Análise De Agrupamentos Utilizando Mapas Auto-Organizáveis Em Agricultura De Precisão, 2 Congresso Brasileiro de Agricultura de Precisão, São Pedro, SP – ESALQ/USP.

35. Hämäläinen, T.H. Laine & E. Sutinen, Data mining in personalizing distance education courses, Data Mining in E-Learning (book), Ed. Romero & Ventura, WITPRESS, pp. 157-172 (2006). 36. Zhenya, Z., Hongmei, C., Xufa, W., Research on stereographic projection and it's application on feed forward neural network, Lecture Notes in Computer Science, 4221 pp. 89-92 (2006). 37. Thanasis Hadzilacos, Dimitris Kalles, “On the software engineering aspects of educational intelligence”, Lecture Notes in Computer Science, Volume 4252 LNAI - II, 2006, Pages 1136-1143. 38. Guan, J., Liu, D., Liu, S, Discrete particle swarm optimization and em hybrid approach for naive bayes clustering, Lecture Notes in Computer Science, Volume 4233 LNCS - II, 2006, Pages 1164-1173. 39. FP6-027026, K-Space ID4.4.1: State of the Art Report on Multimedia Mining. 40. Semaan, G. S. ; Graca, A. A. ; Dias, C. R. . Descoberta de associações em dados. Revista eletrônica da Faculdade Metodista Granbery, http://www.granbery.edu.br/, 01 set. 2006. 41. Juan Carlos Galeano Huertas, Seminario de Investigación I, Primer semestre 2006, Departamento de Ingeniería de Sistemas e Industrial de la Universidad Nacional de Colombia - Sede Bogotá. 42. Keeley Crockett, Zuhair Bandar, James O’Shea (2006), On Producing Balanced Fuzzy Decision Tree Classifiers, IEEE International Conference on Fuzzy Systems, Vancouver, BC, Canada July 16-21, 2006. 43. Xinghua Hu, Bin Wu, "Automatic Keyword Extraction Using Linguistic Features," icdmw, pp. 19-23, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006. 44. LiangChi Wang, Classification Rule Discovery with Particle Swarm Optimasation, Master Thesis, Department of Information Management, National Kaohsiung First University of Science and Technology, 2007. 45. R. Portugal and M. Carrasco, "Ensamble de Algoritmos Bayesianos con Árboles de decisión: una alternativa de clasificación," in XVII Congreso Chileno de Control Automático (ACCA2007) Universidad de la Frontera, Temuco, Chile, 2007. 46. Jun Xu, Cost-sensitive Learning of Ranking for Information Retrieval, Ph.D. in Computer Application and Technology in July 2006, Nankai University. 47. Peter Vorburger, Abraham Bernstein, Entropy-based Detection of Real and Virtual Concept Shifts, working paper, Department of Informatics, University of Zurich (http://www.ifi.unizh.ch/ddis/fileadmin/pubs/vorburger/unizh_entropy_workingpaper.pdf). 48. Balducelli, C., Bologna, S., Lavalle, L., Vicoli, G., Safeguarding information intensive critical infrastructures against novel types of emerging failures, Reliability Engineering & System Safety, Volume 92, Issue 9 , September 2007, Pages 1218-1229. 49. Isler, Y., and Kuntalp, M., Combining Classical HRV Indices With Wavelet Entropy Measures Improves to Performance in Diagnosing Congestive Heart Failure, Computers in Biology and Medicine, Volume 37, Issue 10, October 2007, Pages 1502-1510 50. Guan, J.-H., Liu, D.-Y., Jia, H.-Y., Yu, P., An effective clustering method using a discrete particle swarm optimization algorithm-based hybrid approach,

Proceedings of the 2006 International Conference on Machine Learning and Cybernetics 2006, art. no. 4028230, pp. 1114-1119. 51. R. Portugal and M. Carrasco, "Ensamble de Algoritmos Bayesianos con Árboles de decisión: una alternativa de clasificación," in XVII Congreso Chileno de Control Automático (ACCA2007) Universidad de la Frontera, Temuco, Chile, 2007. 52. Zhang, Z.-Y., Zhang, S.-G., Wang, X.-F., Document classification via TextCC based on stereographic projection, Proceedings of the 2006 International Conference on Machine Learning and Cybernetics 2006, art. no. 4028277, pp. 1368-1372. 53. Koffi Bruno Yao, A comparison of clustering methods. February 2006, Master Thesis, Department of Computer Science at the University of Copenhagen. 54. Soler Ruiz, Vicenç, Lógica difusa aplicada a conjuntos imbalanceados: aplicación a la detección del Síndrome de Down, PhD Thesis, Departament D'arquitectura De Computadors I Sistemes Operatius, Universitat de Barcelona, 2007. 55. Wang Tian-Bao, Zhu Zhong-Hua, An Effective Clustering Model Based on Non-metric Distance, Information and Control, 2007, Vol.36, No.1, pp.15-20. 56. M. Carrasco, R. Portugal, and B. Peralta, "Reconocimiento Biométrico de Audio y Rostro: Un sistema viable de Identificación," in XVII Congreso Chileno de Control Automático (ACCA2007) Universidad de la Frontera, Temuco, Chile., 2007. 57. Santos, M.F., Cortez, P., Pereira, J., Quintela, H, Corporate bankruptcy prediction using data mining techniques, WIT Transactions on Information and Communication Technologies, Volume 37, 2006, Pages 349-357. 58. Rapelang Marumo, Fareq Aldebrez, Model-based Data Clustering Guided by Adaptive Neurofuzzy, International Control Conference (ICC2006) Glasgow, Scotland, United Kingdom 30th August to 1st September 2006. 59. Márcio Porto Basgalupp, Karin Becker, Duncan D. A. Ruiz Pontifícia Universidade Católica do Rio Grande do Sul, A Study of Multi-Objective Fitness Functions for a Feature Selection Genetic Algorithm, Proceedings of the Second Workshop on Feature Selection for Data Mining: Interfacing Machine Learning and Statistics in conjunction with the 2006 SIAM International Conference on Data Mining, April 22, 2006, pp.123-130. 60. Valnaide Gomes Bittencourt, Aplicacao de Tecnicas de Aprendizado de Maquina no Reconhencimento de Classes Estruturais de Proteinas, Universidade Federal do Rio Grande do Norte, Centro de Technologia, Programa de Pos-Graduacao em Engenharia Eletrica, 2005. 61. Fatima Al-Raisi, A Literature Survey of Computational Aspect of Voting Systems, Computer Science Department B. Thomas Golisano College of Computing and Information Sciences Rochester Institute of Technology, 2007. 62. Liu Bo, Pan Jiuhui, Research of Classification Algorithm Based On Ant Colony Optimization, Computer Applications and Software 2007 Vol.24, No.4 P.50-53. 63. C. Romero, S. Ventura, E. García. Data mining in course management systems: Moodle case study and tutorial. Computers & Education, Volume 51, Issue 1, August 2008, Pages 368-384 64. Zhongming Ma, Olivia R. Liu Sheng, Gautam Pant, A Network Approach to Automatically Discovering Competitor Relationships from Business News, Technical Report, David Eccles School of Business The University of Utah, 2007. 65. Waralak V. Siricharoen, Ontologies for e-tourism, 4th WSEAS / IASME International Conference on ENGINEERING EDUCATION (EE'07), Agios Nikolaos Crete Island, 24-26 July 2007.

66. Meng, J., Ma, W., Yan, L., Zhu, Y., Rule extraction method for text classification based on PA and RS, Journal of Computational Information Systems, Volume 3, Issue 3, March 2007, Pages 1307-1312. 67. Félix Castro, Alfredo Vellido, Àngela Nebot, Francisco Mugica, Applying Data Mining Techniques to e-Learning Problems, Book Title - Evolution of Teaching and Learning Paradigms in Intelligent Environment, pp. 183-221, 2008. 68. Kihoon Yoon and Stephen Kwek, A data reduction approach for resolving the imbalanced data issue in functional genomics, Neural Computing & Applications, Volume 16, Number 3 / May, 2007, Pages 295-306. 69. Rahul J. Patil, Using ensemble and metaheuristics learning principles with artificial neural networks to improve due date prediction performance, International Journal of Production Research, Volume 46, Issue 21 November 2008 , pages 6009 - 6027. 70. Hsu, Chung-Chian, Chin-Lung Chen and Yu-Wei Su, “Hierarchical Clustering of Mixed Data based on Distance Hierarchy,” Information Sciences, Volume 177, Issue 20, 15 October 2007, Pages 4474-4492. 71. M. Kwiatkowska, Integrating Knowledge-Driven and Data-Driven Approaches for the Derivation of Clinical Prediction Rules, PhD thesis, Simon Fraser University, 2006. 72. Αθανασοπούλου, Ευαγγελία – Ελένη, Εφαρµογές της µηχανικής µάθησης στην κατηγοριοποίηση κειµένου, Μεταπτυχιακή Εργασία, Τµήµα Μηχανικών Η/Υ και Πληροφορικής (Μ∆Ε), Πανεπιστήµιο Πατρών, 2006. 73. Yang, Y., Webb, G.I., Cerquides, J., Korb, K., Boughton, J. and Ting, K.M. To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Ensembles. IEEE Transaction on Knowledge and Data Engineering, Volume: 19, Issue: 12, On page(s): 1652-1665 74. Das, R.; Sarmah, S.; Bhattacharyya, D. K., A Distributed Clustering Technique for Intrinsic Cluster Detection, International Conference on Advanced Computing and Communications, ADCOM 2006, 20-23 Dec. 2006, Mangalore, India, Page(s):117 – 122. 75. Nahm, Sang Duck, A Study on Corporate Bankruptcy and Relationship Banking - During The Period of Economic Crisis, Msc Thesis, Department of Economics, Major in Economic Policy, Graduate School of Chung-Ang University, 2006. 76. Shu-Xue Zou, Yanxin Huang, Yan Wang, Chengquan Hu, Yanchun Liang, Chunguang Zhou: A Novel Method for Prediction of Protein Domain Using Distance-Based Maximal Entropy, Advances in Neural Networks – ISNN 2007, Lecture Notes in Computer Science, 4492, pp. 1264-1272. 77. Vicenç Soler and Marta Prim, Rectangular Basis Functions Applied to Imbalanced Datasets, Lecture Notes in Computer Science, ICANN 2007, Volume 4668/2007, pp. 511-519. 78. Zhenya Zhang, Hongmei Cheng, "Research on delta-radius Based Generalization of Corner Classification," icnc, pp. 275-279, Third International Conference on Natural Computation (ICNC 2007) Vol I, 2007 79. Wilhelmiina Hämäläinen and Mikko Vinni, Comparison of Machine Learning Methods for Intelligent Tutoring Systems, Intelligent Tutoring Systems 2006, Lecture Notes in Computer Science, Volume 4053/2006, pp. 525-534. 80. GuangHui Yan, ZhanHuai Li, Using Cluster Similarity to Detect Natural Cluster Hierarchies, 4th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'07), August 24-27, Haikou, China.

81. Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer, Using classifier ensembles to label spatially disjoint data, Information Fusion, 2008. 82. Yue, Dianmin; Wu, Xiaodan; Wang, Yunfeng; Li, Yue; Chu, Chao-Hsien, A Review of Data Mining-Based Financial Fraud Detection Research, International Conference on Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007, 21-25 Sept. 2007 Page(s): 5514 – 5517. 83. Joel Hickman, Gina Hope, Taehyung Wang, Data Attribute Selection Using Genetic Programming, International Conference on Information Society (2007), pp. 357-364. 84. Yaohua Chen, Yiyu Yao, A multiview approach for intelligent data analysis based on data operators, Volume 178 , Issue 1 (January 2008), Pages: 1-20. 85. Mario Doller, The Mpeg-7 Multimedia Database System (Mpeg-7 Mmdb), Dissertation, Universitat Klagenfurt, 2004. 86. Geng Deng, SIMULATION-BASED OPTIMIZATION, Doctor of Philosophy (Mathematics and Computation in Engineering) at the University of WISCONSIN – MADISON, 2007. 87. Danica D. Damljanović, Inteligentni Web portal u oblasti turizma, Univerzitet u Beogradu Fakultet organizacionih nauka, Beograd, 2007. 88. Panayides Andreas, Cluster Analysis: Overview, Algorithms, and Comparison, MSc in Computing and Internet Systems, School of Physical Sciences & Engineering, Department of Computer Science, King’s College London, University of London, 2005. 89. Colin Stuart Carmichael, Modelling student performance in a tertiary preparatory course, Master of Philosophy at the University of Southern Queensland, November 2006. 90. Vasileios L. Georgiou, Philipos D. Alevizos and Michael N. Vrahatis, Novel Approaches to Probabilistic Neural Networks Through Bagging and Evolutionary Estimating of Prior Probabilities, Neural Processing Letters, 2008. 91. Matjaž Gams and Tea Tušar, Intelligent High-Security Access Control, Informatica 31 (2007) 469-477. 92. Addissson Salazar, Nancy Vargas, Jorge Gosálbez , Ignacio Bosch, Deriving managerial knowledge from an educational web-based information system, Proceedings of European and Mediterranean Conference on Information Systems 2007 (EMCIS2007), June 24-26 2007, Polytechnic University of Valencia, Spain. 93. Li-Fei Chen, Qingshan Jiang and Shengrui Wang, "A Hierarchical Method for Determining the Number of Clusters", to appear in Journal of Software, in Chinese. 94. Hyunjin Shin, Algorithms for Biomarker Identification Utilizing MALDI TOF Mass Spectrometry, Doctor of Philosophy, The University of Texas at Austin, December 2006. 95. Carbonaro, A., Ferrini, R., Personalized Information Retrieval in a Semantic-based Learning Environment, Social Information Retrieval Systems, Ed. Dion Goh & Schubert Foo, pp. 270-288. 96. Mukhopadhyay, Anirban, Maulik, Ujjwal, Bandyopadhyay, Sanghamitra, Multiobjective Genetic Fuzzy Clustering of Categorical Attributes, 10th International Conference on Information Technology, (ICIT 2007), 17-20 Dec. 2007, pp. 74-79. 97. Kriger, C., Tzoneva, R., Neural networks for prediction of wastewater treatment plant influent disturbances, AFRICON 2007, 26-28 Oct. 2007, pp. 1-7.

98. Salazar, Addisson, Serrano, Arturo, Vergara, Luis, Non-Parametric ICA reveals Learning Styles in Education Activities through the Web, IEEE Workshop on Machine Learning for Signal Processing, 27-29 Aug. 2007, pp. 259 - 264. 99. Bodea, Constanta-Nicoleta, An Innovative System for Learning Services in Project Management, IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2007, 27-29 Aug. 2007, pp. 1-5. 100. Stylianou, Constantinos Andreou, Andreas S., A Hybrid Software Component Clustering and Retrieval Scheme Using an Entropy-Based Fuzzy k-Modes Algorithm, 19th IEEE International Conference on Tools with Artificial Intelligence, 29-31 Oct. 2007, pp. 202-209. 101. Danica D. Damljanović, Inteligentni Web portal u oblasti turizma, Univerzitet u Beogradu Fakultet organizacionih nauka, Beograd, 2007. 102. Ya-Ju Fan, Cem Iyigun, and W. Art Chaovalitwongse, Recent Advances in Mathematical Programming for Classification and Cluster Analysis, Centre de Recherches Mathematiques CRM Proceedings and Lecture Notes Volume 45, 2008, pp. 67-93. 103. Cem Iyigun, Probabilistic Distance Clustering, Phd Thesis, New Brunswick, New Jersey, January, 2008. 104. Leonardo Ponte Daister, Estrategias para desenvolvimento de sistemas de multiplos classificdores em aprendizado supevisionado, Master Thesis, Rio de Janeiro, Brasil, 2007. 105. V. Garcia, J. Sanchez, R. Mollineda, R. Alejo, J. Sotoca, The class imbalance problem in pattern classification and learning, CEDI 2007, 11-14 September, Spain. 106. Jose Pereira, Miguel Dominguez, Jose Ocejo, Modelos de Previsao do Fracasso Empresarial: Aspectos a considerer, Revista de Estudos Politecnicos, Polytechnical Studies Review, 2007, vol IV (7), pp. 111-148, ISSN: 1645-9911. 107. Ruhaidah Binti Samsudin, Sagaai Bin Deris, Muhamad Razib Bin Othman, Rosli Bin Md Illias, Safie Bin Mat Yatimthe, DEVELOPMENT OF SEMANTIC META-DATABASE: AN ONTOLOGY BASED SEMANTIC INTEGRATION OF BIOLOGICAL DATABASES, Jabatan Kejuruteraan Perisian, Fakulti Sains Komputer Dan Sistem Maklumat, Universiti Teknologi Malaysia, RESEARCH VOT NO: 74289, 2007. 108. Vu HOANG, Nguyen NGUYEN, Dien DINH, Nigel COLLIER, Topic-based Vietnamese News Document Filtering in the BioCaster Project, Sixth IEEE International Conference on Advanced Language Processing and Web Information Technology, 2007, pp. 224-229. 109. Mustafa Idrissi, ADDRESS BLOCK SEGMENTATION USING ENSEMBLE-CLUSTERING TECHNIQUES, Media & Knowledge Engineering Faculty of Electrical Engineering, Mathematics and Computer Science, Delft, February 2008. 110. Danica D. Damljanović, Inteligentni Web portal u oblasti turizma, Univerzitet u Beogradu Fakultet organizacionih nauka, Beograd, 2007. 111. Lifei Chen, Yanfang Ye, and Qingshan Jiang, A New Centroid-Based Classifier for Text Categorization, IEEE 22nd International Conference on Advanced Information Networking and Applications – Workshops, (WAINA.2008.12) pp. 1217-1222. 112. Masanori Kawakita, Shinto Eguchi, Boosting method for local learning in statistical pattern recognition, To appear in Neural Computation, 2008 113. A. Salazar, L. Vergara, Knowledge Discovery from E-learning Activities, Advances in E-Learning, Idea Group, 2008, ISBN: 1599074756X.

114. YAN Guang-Hui, LI Zhan-Huai, DANG Jian-Wu, Finding Natural Cluster Hierarchies Based on MultiFractal, Journal of Software, Vol.19, No.6, June 2008, pp.1283−1300. 115. Mira Trebara, Nigel Steele, Application of distributed SVM architectures in classifying forest data cover types, Computers and Electronics in Agriculture 63 (2), pp. 119-130. 116. PhD. Eng. Al. Epureanu, Drd. Eng. F. Buruiana, Drd. Eng. S. Ciuntu, Drd. Eng. F. Susac, Drd. Eng. A. Tofan, Algorithm for Economical Characteristics Identification a Machining System, THE ANNALS OF “DUNĂREA DE JOS” UNIVERSITY OF GALAłI FASCICLE V, TECHOLOLOGIES IN MACHINE BUILDING, ISSN 1221-4566, 2007, pp.135-140. 117. Gints Jekabsons, Ensembling Adaptively Constructed Polynomial Regression Models, PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOLUME 28, APRIL 2008, ISSN 1307-6884, pp. 162-167. 118. Fernando Bação & Victor Lobo, Fundamentals of data preparation and pre-processing, UNIVERSIDADE NOVA DE LISBOA, INSTITUTO SUPERIOR DE ESTATÍSTICA E GESTÃO DE INFORMAÇÃO. 119. B.C. Nicoleta, Ontology-based Learning in Project Management, Proc. Of the 6th Conference on E-learning: ECEL 2007, pp. 119-127. 120. Gints Jekabsons, Ensembling Adaptively Constructed Polynomial Regression Models, International Journal of Intelligent Technology, Volume 3 (2008), Number 2, pp. 56-61. 121. G. Schwarz, M. Datcu, Image Information Mining: Perspectives seen by DLR, ESA-EUSC 2008: Image Information Mining: pursuing automation of geospatial intelligence for environment and security, ESRIN, Frascati (Italy), Conference: March 4-6, 2008 122. Jolita Bernatavičienė, VIZUALIOS ŽINIŲ GAVYBOS METODOLOGIJA IR JOS TYRIMAS, Daktaro disertacija, Technologijos mokslai, informatikos inžinerija (07T), VILNIAUS GEDIMINO TECHNIKOS UNIVERSITETAS MATEMATIKOS IR INFORMATIKOS INSTITUTAS. 123. Rocío Alaiz-Rodríguez, Local Decision Bagging of Binary Neural Classifiers, Lecture Notes in Computer Science, Volume 5032/2008, pp. 1-12. 124. Thomas Delavallade, Evaluation des risques de crise, appliquée à la détection des conflits armés intra-étatiques, Université Pierre et Marie Curie - Paris VI (2007-12-06), Bernadette Bouchon-Meunier (Dir.). 125. Raul Benites Paradeda, Utilizando Pesos estáticos e dinâmicos em sistemas multi-classificadores com diferentes níveis de diversidade, Msc in Department of Informatics, Natal, Julho de 2007 126. Márcio Porto Basgalupp, Algoritmos genéticos para seleção de atributos em problemas de classificação de processos de negócio, Porto Alegre, Pontifícia Universidade Católica do Rio Grande do Sul, Faculdade de Informática, Programa de Pós-Graduação em Ciência da Computação Janeiro de 2007 127. Chumki Basu, Hui Cheng, Darren Butler, Mining Spatial Associations with Limited Sensory Information, Spatial Cognition & Computation, Volume 8, Issue 1 & 2 January 2008 , pages 65 – 85. 128. Luca Vanin, Stefano Castelli, Alessandro Pepe, Loredana Additando, An Academic Guidance Model to Orient Distance Students, Encyclopedia of Information Communication Technology (2 Volumes), Edited By: Antonio Cartelli ; Marco Palma, University of Cassino, Italy, IGI publishing.

129. Thanasis Hadzilacos, Dimitris Kalles, Christos Pierrakeas, On Developing and Communicating User Models for Distance Learning Based on Assignment and Exam Data, Intelligent Interactive Systems in Knowledge-Based Environments, pp. 137-155. 130. HU Jun-jun, SUN Jing, New model for computer aided audit, APPLICATION RESEARCH OF COMPUTERS, 2008 Vol.25 No.3 P.782-785. 131. Joanna Mercieca, Application and Viability of Document Classification Techniques, Technical Report, University of Malta, Tal-Qroqq, Msida, Malta. 132. Fernanda L. Minku and Xin Yao, On-line Bagging Negative Correlation Learning, 2008 International Joint Conference on Neural Networks (IJCNN 2008), pp. 1375-1382. 133. Siti Sakira Kamaruddin, Abdul Razak Hamdan, Azuraliza Abu Bakar, Text Mining for Deviation Detection in Financial Statement, Proceedings of the International Conference on Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia June 17-19, 2007. 134. Cristóbal Romero, Sebastián Ventura, Pedro G. Espejo and César Hervás, Data Mining Algorithms to Classify Students, 1st International Conference on Educational Data Mining (EDM08), pp. 8-17. 135. José Antonio Reyes Ortiz de Zárate, ACO Attribute Depenence Search & Complex Attribute Construction to Improve the Accuracy of Naive Bayes, jr239 Co620 Technical Report:April 2008. 136. Vladimir Egorov, Thomas Kearney, Stanley B Pollak, Chand Rohatgi, Noune Sarvazyan, Suren Airapetian, Stephanie Browning, Armen Sarvazyan, Differentiation of Benign and Malignant Breast Lesions by Mechanical Imaging, Breast Cancer: Basic and Clinical Research, Springer Netherlands, 2009. 137. Constantinos Stylianou and Andreas S. Andreou, Software Component Clustering and Retrieval: An Entropy-based Fuzzy k-Modes Methodology, Tools in Artificial Intelligence, pp. 399-420. 138. Gordon V. Cormack (2008) "Email Spam Filtering: A Systematic Review", Foundations and Trends® in Information Retrieval: Vol. 1: No 4, pp 335-455. 139. Amalia Annest, Iterative Bayesian Model Averaging: A Method for the Application of Survival Analysis to High-Dimensional Microarray Data, Master of Science, University of Washington, 2008. 140. Chyuan-Meei Chen, Shu-Hsien Liao, Association Rule Algorithms for Logical Equality Relationships, IEEE 8th International Conference on Computer and Information Technology Workshops, pp. 26-30. 141. C Basu, Hui Cheng, Darren Butler, Mining Spatial Associations with Limited Sensory Information, Spatial Cognition & Computation, Volume 8, Issue 1 & 2 January 2008 , pages 65 – 85. 142. A Salazar, L Vergara, Knowledge Discovery from E-Learning Activities, Advances in E-Learning: Experiences and Methodologies. 143. ZHAO Feng-Ying, WANG Chong-Jun, CHEN Shi-Fu, Data Mining on Imbalanced Data Sets, COMPUTER SCIENCE, 2007 Vol.34 No.9 P.139-141. 144. Chen Lifei, Jiang Qingshan, Wang Shengrui, Dong Huailin, An Efficient Clustering Algorithm Based on Graphic Profile, JOURNAL OF COMPUTER RESEARCH AND DEVELOPMENT 2006 Vol.43 No.z3 P.314-320. 145. Johannes Aÿfalg, Advanced Analysis on Temporal Data, Dissertation an der Fakultät für Mathematik, Informatik und Statistik der Ludwig, Maximilians, Universität München, 2008.

146. Turo Keski-Jaskari, Supervised learning in robotics, AS 84.4340 Automation Technology Postgraduate Course. 147. Shu-Chuan Chen, Applying Weighted Association Rules with the Consideration of Product Item Relevancy, Master thesis, Department of Business Administration, 2008. 148. Che-Wei Chang, Mining implicit patterns of customer purchasing behavior based on the consideration of RFM model, Master thesis, Department of Business Administration, 2008. 149. Christopher Wells, AUTOMATIC INFORMATION SOURCE DISCOVERY AND CHARACTERISATION ON THE WORLD WIDE WEB, Master of Engineering, DEPARTMENT OF ENGINEERING MATHEMATICS, UNIVERSITY OF BRISTOL, 2007. 150. Κωνσταντίνος Παπαγεωργίου, ΜΟΝΤΕΛΑ ΠΡΟΒΛΕΨΗΣ ΤΗΣ ΠΤΩΧΕΥΣΗΣ ΚΑΤΑΣΚΕΥΗ ΥΠΟ∆ΕΙΓΜΑΤΟΣ ΛΟΓΙΣΤΙΚΗΣ ΠΑΛΙΝ∆ΡΟΜΗΣΗΣ ΣΤΙΣ ΕΤΑΙΡΙΕΣ ΕΜΠΟΡΙΑΣ ΙΑΤΡΟΤΕΧΝΟΛΟΓΙΚΩΝ ΠΡΟΪΟΝΤΩΝ, ΤΜΗΜΑ ∆ΗΜΟΣΙΑΣ ∆ΙΟΙΚΗΣΗΣ, ΜΕΤΑΠΤΥΧΙΑΚΟ ΠΡΟΓΡΑΜΜΑ ΣΠΟΥ∆ΩΝ ΦΟΡΟΛΟΓΙΑΣ & ΕΛΕΓΚΤΙΚΗΣ, 2008. 151. Muna Saleh Al-Razgan, Weighted Clustering Ensembles, Doctor of Philosophy at George Mason University, Department of Computer Science, Summer Semester 2008, Fairfax, VA. 152. Louis-Philippe Kronek, and Anupama Reddy, Logical analysis of survival data: prognostic survival models by detecting high-degree interactions in right-censored data, Bioinformatics, Vol. 24 ECCB 2008, pages i248–i253 doi:10.1093/bioinformatics/btn265 153. Dimitris Kalles, Christos Pierrakeas and Michalis Xenos, Intelligently Raising Academic Performance Alerts, 1st International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2008), Tuesday July 22, 2008, Patras, Greece. 154. Bryan C. Flietstra, A Data Mining Approach for Acoustic Diagnosis of Cardiopulmonary Disease, Master's thesis, MASSACHUSETTS INST OF TECH CAMBRIDGE, 2008. 155. Sam McKennoch, Thomas Voegtlin, Linda Bushnell, Spike-Timing Error Backpropagation in Theta Neuron Networks, Neural Computation, Jan 2009, Vol. 21, No. 1, Pages 9-45 156. Mohamed Ali Ben Hassine and Habib Ounelli, IDFQ: An Interface for Database Flexible Querying, Lecture Notes in Computer Science, Volume 5207/2008, Pages 112-126. 157. MASANORI HIGASHIHARA, JOVAN DAVID REBOLLEDO-MENDEZ, YOICHI YAMADA, KENJI SATOU, Application of a Feature Selection Method to Nucleosome Data: Accuracy Improvement and Comparison with Other Methods, WSEAS TRANSACTIONS on BIOLOGY and BIOMEDICINE, Issue 5, Volume 5, May 2008, 95-104. 158. Xinjian Guo, Yilong Yin, Cailing Dong, Gongping Yang, Guangtong Zhou, Proceedings - 4th International Conference on Natural Computation, ICNC 2008 4, art. no. 4667275, pp. 192-201. 159. Ing. Jiří Přinosil, Bc. Martin Krolikowski, Využití detektoru Viola-Jones pro lokalizaci obličeje a očí v barevných obrazech, elektrorevue, 2008/31– 21.8.2008.

160. Joanna Jedrzejowicz and Jakub Neumann, Applying XML-based technologies to developing online courses : the case of a prototype learning environment, Interactive Technology & Smart Education (2007) 117-123. 161. Xinjian Guo, Yilong Yin, Cailing Dong, Gongping Yang, Guangtong Zhou, On the Class Imbalance Problem, The 4 th International Conference on Natural Computation (ICNC'08), 18-20 October, China . 162. Jan Ulrich (2008), Evaluating Machine Learning Algorithms and the ClueWordSummarizer for Email Thread Summarization, TR, Department of Computer Science University of British Columbia, 2366 Main Mall, Vancouver. 163. Κ. Τόγιας (2007), ΑΞΙΟΛΟΓΗΣΗ ΟΝΤΟΛΟΓΙΩΝ ΜΑΘΗΣΙΑΚΟΥ ΥΛΙΚΟΥ, ΜΕΤΑΠΤΥΧΙΑΚΟ ∆ΙΠΛΩΜΑ ΕΙ∆ΙΚΕΥΣΗΣ, Πανεπιστήµιο Πατρών. 164. Othman R.M.(2008), Computational Method for Annotation of Protein Sequence Using Gene Ontology and Intelligent Techniques. PhD Thesis. Universiti Teknologi Malaysia. 165. S. Sun and J. Zambreno. "Mining Association Rules with Systolic Trees", Proceedings of the International Conference on Field-Programmable Logic and its Applications (FPL), September 2008, pp.143-148. 166. Paulo Cortez and Alice Silva, USING DATA MINING TO PREDICT SECONDARY SCHOOL STUDENT PERFORMANCE, “Proceedings of 5th Annual Future Business Technology Conference, Porto, 2008”. [S.l. : EUROSIS, 2008]. ISBN 978-9077381-39-7. p. 5-12. 167. Vanessa Amado Gonzalez, Knowledge Discovery And Data Mining From Freeway Section Traffic Data, Civil Engineering, PhD, SP 2008, University of Missouri-Columbia. 168. Yi Zhi Zhao, Nhu Khue Vuong Xiang Li, A novel Hybrid Wavelet Neural Network and its performance evaluation, 6th IEEE International Conference on Industrial Informatics, INDIN 2008, 13-16 July 2008 Page(s):1097 - 1102. 169. R. Alejo, V. García, F. García y M. G. de la Rosa, Redes Neuronales Artificiales y Distribuciones No Balanceadas, M.A Cruz-Chávez, J.C. Zavala-Díaz (Eds): AGECOMP 2008, ISBN:en Trámite. pp. 77-88. 170. Georgios Bardis, Georgios Miaoulis and Dimitri Plemenos, User Profiling from Imbalanced Data in a Declarative Scene Modelling Environment, Studies in Computational Intelligence, Artificial Intelligence Techniques for Computer Graphics, Volume 159/2009, pp. 123-140. 171. Guilherme C. Goncalves, Construcao de Ontologia para suporte cognitivo a um ambiente de aprendizagem, Msc Thesis, Porto Alegres, 2008. 172. Lilia Cheniti-Belcadhi, Nicola Henze and Rafik Braham, Assessment personalization in the Semantic Web, Journal of Computational Methods in Science and Engineering, Volume 8, Number 3 / 2008. 173. Simon Marcellin, Arbres de décision en situation d’asymétrie, Docteur en Informatique, Université Lumière Lyon II, École Doctorale Informatique et Information pour la Société, 2008. 174. Dimitris Stavrinoudis and Michalis Xenos, On technological issues affecting online learners' behaviour, Journal of Computational Methods in Science and Engineering, Volume 8, Number 3 / 2008. 175. Malik T. R. Peiris, B.E., Lapses in Responsiveness: Characteristics and Detection from the EEG, Doctor of Philosophy, Department of Electrical and Computer Engineering, University of Canterbury Christchurch, New Zealand, January, 2008.

176. Efstathios Kirkos, Charalambos Spathis and Yannis Manolopoulos, Support vector machines, Decision Trees and Neural Networks for auditor selection, Journal of Computational Methods in Science and Engineering, Volume 8, Number 3 / 2008, pp. 213-224. 177. R. Alejo, J.M. Sotoca, and G.A. Casa˜n, An Empirical Study for the Multi-class Imbalance Problem with Neural Networks, CIARP 2008, LNCS 5197, pp. 479–486, 2008. 178. Niko Ruotsalainen, ONTOLOGIOIDEN OPPIMINEN TEKSTISTÄ Tietojenkäsittelytieteen pro gradu – tutkielma, 8.7.2008. 179. Tae Young Yang, Efficient multi-class cancer diagnosis algorithm, using a global similarity pattern, Computational Statistics & Data Analysis, Article in Press, Corrected Proof. 180. Sandra Johnson ,Dr S Valli, HOT METHOD PREDICTION USING SUPPORT VECTOR MACHINES, Ubiquitous Computing and Communication Journal. 181. Pratibha Rani, Vikram Pudi, RBNBC: Repeat Based Naive Bayes Classifier for Biological Sequences, Eighth IEEE International Conference on Data Mining, 2008. ICDM '08. On page(s): 989-994. 182. Megat Norulazmi Megat Mohamed Noor,; Jusoh, Shaidah, Handling imbalance visualized pattern dataset for yield prediction, International Symposium on Information Technology, ITSim 2008, Volume 2, 26-28 Aug. 2008 Page(s):1 - 6. 183. Zou, S., Huang, Y., Wang, Y., Zhou, C., A Novel Method for Prediction of Protein Domain Using Distance-Based Maximal Entropy, Journal of Bionic Engineering 5 (3), pp. 215-223. 184. Carbonaro, A., Ferrini, R., Personalized Information Retrieval in a Semantic-based Learning Environment, Semantic Knowledge Management, IDEA group, pp. 370-389, 2008. 185. Moeen Khurshid, Data Mining & K.D.D, Technical Report, School of Computing and Mathematical Sciences, The University of Greenwich, Old Royal Naval College, Park Row, London SE10 9LS, 2008. 186. Antoine Vacavant, Géométrie discrète sur grillesirrégulières isothétiques, PhD thesis, Université Lumiere, Lyon 2, 2008. 187. Sandra Lumbabo, Processo de mineracao de dados, como apoio a decisao no controle de gastos publicos, Msc thesis, Universidade Federal de Pernambuco, 2008. 188. Κυπαρισσίδης Κωνσταντίνος, Ε3: ΠΕΡΙΦΕΡΕΙΑΚΗ ΤΕΧΝΟΛΟΓΙΚΗ ΠΛΑΤΦΟΡΜΑ ΛΟΓΙΣΜΙΚΟΥ ΓΝΩΣΗΣ ΚΑΙ ΤΕΧΝΟΛΟΓΙΩΝ ΛΟΓΙΣΜΙΚΟΥ, Εθνικό Κέντρο Έρευνας & Τεχνολογικής Ανάπτυξης (EKETA). 189. Yu Maw, Soe; Lar Thein, Ni, Multi-Agent Mobile Tourism System, Encyclopedia of Information Science and Technology, Second Edition, 2009. 190. Imma Rodriguez-Ardura, Francisco J. Martinez-Lopez, and Antoni Meseguer Artola (2008), The online power game: Marketing strategies to manage the enhanced consumer's empowerment, IADIS E-Commerce Conference 2008, pp.144-150. 191. Sinem Aslan, Bahar Karaoglan, Document Clustering with Hierarchical Cellular Tree, Technical Report, Uluslararası Bilgisayar Enstitüsü, Ege Üniversitesi, Bornova-Izmir. 192. Shuzlina Abdul Rahman, Zeti Azura Mohamed, Azuraliza Abu Bakar, Data Mining Framework for Protein Function Prediction, IEEE ITSIM 2008, pp. 1-5. 193. Hao Wen, Liping Fang, Ling Guan, Modelling an Individual’s Web Search Interests by Utilizing Navigational Data, IEEE Multimedia Signal Processing, pp. 691-695.

194. Silva, Alice Maria Goncalves, O desempenho escolar via uma abordagem de descoberta de conhecimento em bases de dados, Thesis, Universidade do Minho,24-Jul-2007 2008. 195. Jianhua Liu, Xiaoping Fan, Zhihua Qu, A New Interestingness Measure of Association Rules, Second International Conference on Genetic and Evolutionary Computing, IEEE DOI 10.1109/WGEC.2008.34, pp. 393-397. 196. Y. Qin and R. M. Mitchell, Characterisation of episodic aerosol types over the Australian continent, Atmos. Chem. Phys. Discuss., 8, 18803–18842, 2008, www.atmos-chem-phys-discuss.net/8/18803/2008/ 197. Silva, Alice Maria Goncalves, O desempenho escolar via uma abordagem de descoberta de conhecimento em bases de dados, Thesis, Universidade do Minho,24-Jul-2007 2008. 198. Z. Al-Omari, J. Abdallah , Modeling Additional Operational Costs Incurred Due to Absent of the Optimal Correction in Electrical Systems, Journal of Applied Sciences, 2008. 199. Vukosi N. Marivate and Tshilidzi, Social Learning Methods in Board Games, CoRR abs/0810.3474 (2008). 200. A J Myrick, K-C Park, J R Hetling and T C Baker, Real-time odor discrimination using a bioelectronic sensor array based on the insect electroantennogram, Bioinspir. Biomim. 3 046006 (19pp) doi: 10.1088/1748-3182/3/4/046006 201. Wang, H., Intelligent Data Analysis: Developing new methodologies through pattern discovery and recovery, Information Science Reference, New York, 2007. 202. Κωνσταντίνος Παππάς, Επανυλοποίηση, βελτίωση, αξιολόγηση και τεκµηρίωση ελληνικού επισηµειωτή µερών του λόγου που χρησιµοποιεί µηχανική µάθηση, Πτυχιακή εργασία, Τµήµα Πληροφορικής, ΑΣΣΟΕ, 2008. 203. Anna Jurek, Danuta Zakrzewska, Improving Naıve Bayes Models of Insurance Risk by Unsupervised Classification, Proceedings of the International Multiconference on Computer Science and Information Technology pp. 137–144, ISBN 978-83-60810-14-9. 204. Carbonaro, A., Ferrini, R., Personalized Information Retrieval in a Semantic-based Learning Environment, Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling, 2009. 205. Muhammad Sarwar, Onaiza Maqbool: The RSO Algorithm for Reducing Number of Set Operations in Association Rule Mining. ADMA 2008: 460-468 206. Wang, H., Intelligent Data Analysis: Developing new methodologies through pattern discovery and recovery, Information Science Reference, New York, 2007. 207. Tsung-Cheng Pai, Development of Socket Collaborative Service-oriented Architecture Information Platform with Web-based Dispatching and Diagnosis Systems, TR95546006, Chinese Electronic thesis, 2008. 208. Vıtor Paulino e Jorge Pais, CLASSIFICACAO AUTOMATICA DE PAGINAS NA INTERNET ADAPTADA AO UTILIZADOR, Forum de Jovens Investigadores – JETC08. 209. AZIZ MOHAMMADI, TEKSTMINING: VAN TEKST NAAR KLANTINTELLIGENTIE, Vrije Universiteit Amsterdam, 2008. 210. Joao Pedro Carvalho Leal Mendes Moreira, A Study on the Definition of Travel Times for the Planning Tasks ofMass Transit Companies, PhD Thesis, Departamento de Engenharia Informatica, Faculdade de Engenharia da Universidade do Porto, 2008.

211. Toshihiro Morioka, Noriyouki Iwane, Yukihiro Mathubara (2007) A study on building of Japanese history ontology aiming at learning support, pp.109-112. In Supporting Learning Flow though Integrative Technologies. T. Hirashima et al. (Eds) IOS Press 2007. 212. Eric Y.T. Juan, J.H. Jhang, W.J. Li, Predicting Protein Subcellular Localization using PsePSSM and Support Vector Machines, Proceedings of the 11th Joint Conference on Information Sciences (2008) 213. João M. Moreira, Carlos Soares, Alípio M. Jorge, Jorge Freire de Sousa, Ensemble approaches for regression: a survey, Relatório, Universidade do Porto, 2007. 214. Richard Pearce, Lilliputian Hold'em, Thesis, University of Manchester, 1st April 2008, Supervised by Dr. Jon Shapiro 215. Peng Zhang, Zhiwang Zhang, Aihua Li, and Yong Shi, Global and Local (Glocal) Bagging Approach for Classifying Noisy Dataset, Int J Software Informatics, Vol.2, No.2, December 2008, pp. 181-197. 216. Boseon Byeon and Khaled Rasheed, Simultaneously Removing Noise and Selecting Relevant Features for High Dimensional Noisy Data, 2008 Seventh International Conference on Machine Learning and Applications, pp. 147-152. 217. Zhiyong Yan , Congfu Xu, Using Decision Boundary to Analyze Classifiers, Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, pp. 302-307. 218. Satyendra Nath Mandal, J.Pal Choudhury, S.R.Bhadra Chaudhuri, Dilip De, SOFT COMPUTING APPROACH IN PREDICTION OF A TIME SERIES DATA, Journal of Theoretical and Applied Information Technology, Vol 4(12), 2008, pp. 1131-1141. 219. M Cortesi, R Chechik, A Breskin, D Vartsky, J Ramon, G Raviv, A Volkov and E Fridman, Evaluating the cancer detection and grading potential of prostatic-zinc imaging: a simulation study, Phys. Med. Biol. 54 781-796, 2009. 220. Lior Rokach, Collective-agreement-based pruning of ensembles, Computational Statistics & Data Analysis, Article in Press, 2009. 221. QINGYU ZHANG, RICHARD S. SEGALL, Web Mining: A Survey Of Current Research, Techniques, And Software, International Journal of Information Technology and Decision Making, 07 (2008), pp. 683-720. 222. Bardis, G., Intelligent personalization in a scene modeling environment, Studies in Computational Intelligence 181, pp. 89-119. 223. Derchian Tsaih, Guangming Wu, Chiehyao Chang, Shaoshin Hung, Chinshan Wu, Huiling Lin, An efficient A* algorithm for the directed linear arrangement problem, WSEAS Transactions on Computers, Volume 7 , Issue 12 (December 2008), Pages 1958-1967 224. Andrea Esuli and Fabrizio Sebastiani, Encoding Ordinal Features into Binary Features for Text Classification. Proceedings of ECIR-09, 31st European Conference on Information Retrieval, Toulouse, FR, 2009. 225. Μπουρνά Βασιλική, Τεµαχιοποίηση Οµιλίας σε Φωνητικές Οµάδες για Αναγνώριση και Σύνθεση Συναισθηµατικής Οµιλίας, ∆ιπλωµατική, Πανεπιστήµιο Πατρών, Τµήµα Ηλεκτρολόγων Μηχανικών και Τεχνολογίας Υπολογιστών, 2008. 226. Jan C. Scholtes, Text mining: de volgende stap in zoektechnologie, Thesis, Maastricht, 23 januari 2009. 227. LI Yingjie, YIN Yixin, A Novel Approach to Classify Imbalanced Dataset Based on Rare Attributes and Double Confidences, Second International Workshop

on Knowledge Discovery and Data Mining, DOI 10.1109/WKDD.2009.20, pp. 535- 538. 228. Vegard Engen, Jonathan Vincent and Keith Phalp, Enhancing network based intrusion detection for imbalanced data, International Journal of Knowledge-based and Intelligent Engineering Systems 12 (2008) 357–367. 229. Rodríeuez-Ardura, I., Martínez-López, F.J., Artola, A.M., The online power game: Marketing strategies to manage the enhanced consumer's empowerment, MCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems; Proceedings e-Commerce 2008, Pages 144-150 230. Pratibha Rani, Vikram Pudi, REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences, International Conference on Management of Data COMAD 2008, Mumbai, India, December 17–19, 2008 231. Hsiao-Fan Wang, Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery, Idea Group Inc (IGI), 2008, ISBN 1599049821, 9781599049823. 232. M Ganzha, M Gawinecki, M Paprzycki, R Gąsiorowski, Utilizing semantic web and software agents in a travel support system, Semantic Knowledge Management: An Ontology-based Framework, 2008. 233. Thaveeporn Pulket, Universal Prediction Model for Construction Litigation, Doctor of Philosophy in Civil Engineering in the Graduate College of the Illinois Institute of Technology, 2008. 234. Huebner, Richard A., DIVERSITY-BASED INTERESTINGNESS MEASURES FOR ASSOCIATION RULE MINING, Proceedings of ASBBS, Volume 16, Number 1, ASBBS Annual Conference: Las Vegas February 2009. 235. Amalia Annest, Roger E Bumgarner, Adrian E Raftery, Ka Yee Yeung, Iterative Bayesian Model Averaging: a method for the application of survival analysis to high-dimensional microarray data, BMC Bioinformatics 2009, 10:72. 236. Pulket, T., Arditi, D., Universal prediction model for construction litigation, Journal of Computing in Civil Engineering 23 (3), pp. 178-187 (2009) 237. Noha A. Yousria, Mohamed S. Kamelb, and Mohamed A. Ismail, A distance-relatedness dynamic model for clustering high dimensional data of arbitrary shapes and densities, Pattern Recognition, Volume 42 , Issue 7 (July 2009), Pages 1193-1209 238. Ioanna Lykourentzou, Ioannis Giannoukos, George Mpardis, Vassilis Nikolopoulos, Vassili Loumos, Early and dynamic student achievement prediction in e-learning courses using neural networks, Journal of the American Society for Information Science and Technology, Volume 60 Issue 2, Pages 372 – 380. 239. M. Al-Razgan, C. Domeniconi, Weighted clustering ensembles, Proceedings of the Sixth SIAM International Conference on Data Mining, April 20-22, 2006, Bethesda, MD, USA. SIAM 2006. 240. GH Yan, LS Liu, LN Du, XX Yang, ZC Ma, XM Zhang, Multifractal-based cluster hierarchy optimisation algorithm, International Journal of Business Intelligence and Data Mining, Issue: Volume 3, Number 4 / 2008, Pages: 353 – 374. 241. Christopher Hogan, Dan Brassil, Shana M. Rugani, Esq., Jennifer Reinhart, Misti Gerber, Teresa Jade, H5 at TREC 2008 Legal Interactive: User Modeling, Assessment & Measurement. 242. Talib, Fatima, Computational aspects of voting: a literature survey, Thesis, College of Computing and Information Sciences, RIT, Department of Computer Science, Nov-2007

243. Julia Bondarenko, Oversampling under Statistical Criteria: Example of Daily Traffic Injuries Number, Contemporary Engineering Sciences, Vol. 2, 2009, no. 6, 249 – 264. 244. Ilya Raykhel, REAL‐TIME AUTOMATIC PRICE PREDICTION FOR EBAY ONLINE TRADING, Thesis, Department of Computer Science Brigham Young University, December 2008 245. Ian Stewart, A Modified Genetic Algorithm and Switch-Based Neural Network Model Applied to Misuse-Based Intrusion Detection, McS thesis, Queen's University Kingston, Ontario, Canada, February 2009 246. Kristian Ronge, Automatic Methods for Dialogue Classification and Prediction, Master of Science Thesis, Stockholm, Sweden 2009. 247. Sureyya Ozogur, Zakria Hussain and John Shawe-Taylor, Prediction with the SVM using test point margins, In: Annals of Information Systems, Special Issue on Data Mining Integrated Series in Information Systems . (2008) Springer. ISBN 1934-3221, pp147-158. 248. Görkem GÜREL, MINING XML DOCUMENTS WITH ASSOCIATION RULE ALGORITHMS, MASTER OF SCIENCE, Graduate School of Engineering and Sciences of Izmir Institute of Technology, 2008. 249. Mr.Watanapong Popueng, A Development of Database Analysis System for Account Statement in Banking Business, Information Technology, King Mongkut’s University of Technology North Bangkok, MASTER OF SCIENCE, 2007. 250. Petra Kralj Novak, SUPERVISED DESCRIPTIVE RULE INDUCTION, Doctoral Dissertation Joˇzef Stefan International Postgraduate School, Ljubljana, Slovenia, March 2009 251. A.M.J. Md. Zubair Rahman and P. Balasubramanie, Weighted Support Association Rule Mining using Closed Itemset Lattices in Parallel, IJCSNS International Journal of Computer Science and Network Security, VOL.9 No.3, March 2009. 252. John J. Gelegenis, A simplified quadratic expression for the approximate estimation of heating degree-days to any base temperature, Applied Energy, Volume 86, Issue 10, October 2009, Pages 1986-1994. 253. LOPES, L. ; SCALABRIN, E .E. ; RIELLA, C. L. ; MANFRE, P. . Aprendizagem de Máquina Através de Combinação de Classificadores em Bases de Dados da Área da Saúde. In: XI Congresso Brasileiro de Informática em Saúde CBIS'2008, 2008, Campos de Jordão - SP. Anais do XI CBIS, 2008. v. 1. p. 1-8. 254. Lucelene Lopes , Edson Emilio Scalabrin and Paulo Fernandes, An Empirical Study of Combined Classifiers for Knowledge Discovery on Medical Data Bases, Advanced Web and Network Technologies, and Applications, Lecture Notes in Computer Science, Volume 4977/2008, Pages 110-121. 255. Lucelene Lopes, Aprendizagem de máquina baseada na combinação de classificadores em bases de dados de área de saúde, Msc Thesis, SISTEMA DE PUBLICAÇÃO ELETRÔNICA DE TESES E DISSERTAÇÕES, Curitiba 2007. 256. Marthe Buffière, Frédéric Pichon, Knowledge Based Flexible Query Answering, Master in Information Technology, Department of Computer Science and Engineering, University of ESBJERG, 2005. 257. Mrutyunjaya Panda, Manas Ranjan, Ensemble of classifiers for detecting network intrusion, Proceedings of the International Conference on Advances in Computing, Communication and Control, Mumbai, India, Pages 510-515, 2009.

258. S.Shankar, T.Purusothaman, Utility Sentient Frequent Itemset Mining and Association Rule Mining: A Literature Survey and Comparative Study, International Journal of Soft Computing Applications, ISSN: 1453-2277 Issue 4 (2009), pp.81-95 259. Zeng, H., Zhang, G., Huang, G., Wang, G., Process quality optimization model based on ARM and immune principle, Proceedings of the 2008 International Symposium on Computational Intelligence and Design, ISCID 2008 1, art. no. 4725633, pp. 389-393. 260. Damljanovic, D., Devedzic, V.: Semantic web and e-tourism. In Mehdi Khosrow-Pour (Ed.), Encyclopedia of Information Science and Technology, Vol. VII, 2nd Ed., IGI Global, Hershey, PA, 2009, pp. 3426-3432. 261. Yeasin, M., Russomanno, D.J., Sorower, S.M., Smith, M., Shaik, J.S., Robust classification of objects using a sparse detector sensor, Proceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008 and Proceedings of the 2008 Ienternational Conference on Machine Learning; Models, Technologies and Applications, pp. 742-748. 262. YANNIK T. H. SCHELSKE, GRUNDLAGEN DER

MUSTERERKENNUNG: GRUNDLAGEN DES UBERWACHTEN LERNENS, Technical Report, University of German, 2008. 263. Damljanovic, D., Devedzic, V.: Semantic web and e-tourism. In Mehdi Khosrow-Pour (Ed.), Encyclopedia of Information Science and Technology, Vol. VII, 2nd Ed., IGI Global, Hershey, PA, 2009, pp. 3426-3432. 264. Johnson, S., Valli, S., An approach to predict hot methods using support vector machines, Proceedings of the 2008 16th International Conference on Advanced Computing and Communications, ADCOM 2008, art. no. 4760423, pp. 27-31 265. KANAKO KOMIYA, CHIKARA IGARASHI, KAZUTOMO SHIBAHARA, KOJI FUJIMOTO, YASUHIRO TAJIMA and YOSHIYUKI KOTANI, Generating a Set of Rules to Determine The Gender of a Speaker of a Japanese Sentence, WSEAS TRANSACTIONS on COMMUNICATIONS, Issue 1, Volume 8, January 2009, pp. 112-121 266. Samuel I. Daitch, Jonathan A. Kelner, Daniel A. Spielman, Fitting a Graph to Vector Data, Proceedings of the 26 th International Conference on Machine Learning, Montreal, Canada, 2009. 267. Claudia Daza Andrade, ANÁLISE PLUVIOMÉTRICA DA BACIA TRANSFRONTEIRIÇA DO RIO MADEIRA, Pós-graduação em Engenharia Civil, COPPE, da Universidade Federal do Rio de Janeiro, Novembro de 2008. 268. Mair, A.J.; Davidson, E.M.; McArthur, S.D.J.; Srivastava, S.K.; Schoder, K.; Cartes, D.A, Machine learning techniques for diagnosing and locating faults through the automated monitoring of power electronic components in shipboard power systems, IEEE Electric Ship Technologies Symposium, ESTS 2009, 20-22 April 2009 Page(s):469 - 476. 269. YE Zhi-fei; WEN Yi-min; LU Bao-liang, A survey of imbalanced pattern classification problems, CAAI Transactions of Intelligent Systems, ISSN:1673-4785/CN:23-1538/TP, 2009/02, pp. 148-156 270. Dr. Thomas Delavallade and Dr. Philippe Capet, Information Evaluation as a Decision Support for Counter-Terrorism, TR RTO-MP-IST-086, Thales, 160 boulevard de Valmy 92704 Colombes, France, 2009. 271. Thomas Kuhn, Open Source Workflow Engine for Cheminformatics: From Data Curation to Data Analysis, Dissertation zur Erlangung des Doktorgrades der Mathematisch-Naturwissenschaftlichen Fakultät der Universität zu Köln, 2009.

272. Megat Norulazmi, Megat Mohamed Noor, and Shaidah Jusoh, Visualizing the Pattern for Hard Disk Media Yield Prediction, IJCSNS International Journal of Computer Science and Network Security, VOL.9 No.4, April 2009. 273. O.P.Pfeiffer, Ordinal Multi-Class Molecular Classification, Msc Thesis, Delft University of Technology & Philips Research, 2009. 274. Basel A. Mahafzah, Amer F. Al-Badarneh, Mohammed Z. Zakaria, A new sampling technique for association rule mining, Journal of Information Science, Volume 35 , Issue 3 (June 2009), Pages 358-376. 275. Roberto Alejo, Jose M. Sotoca, R. M. Valdovinos and Gustavo A. Casañ, The Multi-Class Imbalance Problem: Cost Functions with Modular and Non-Modular Neural Networks, The Sixth International Symposium on Neural Networks (ISNN 2009), Pages 421-431. 276. Boris Gourévitch and Jos J. Eggermont, Maximum decoding abilities of temporal patterns and synchronized firings: application to auditory neurons responding to click trains and amplitude modulated white noise, Journal of Computational Neuroscience, 29 (1-2), pp. 253-277. 277. ERIK DOVGAN, MATJAŽ GAMS, Intelligent Entry Control, WSEAS TRANSACTIONS on COMPUTERS, Issue 2, Volume 8, February 2009, pp. 344-354. 278. Yunjiao Xue, Ghenniwa, Hamada H. Shen, Weiming, Instance-based domain ontological view creation, CSCWD 2009, April 2009, pp. 344-349 279. Luo, J., He, S., Peng, Y., Graphics-based algorithm for discovering arbitrarily shaped clusters, Journal of Computational Information Systems 5 (1), pp. 213-222, 2009. 280. Tihomir Trifonov, Tsvetanka Georgieva, Discovering the constraint-based association rules in an archive for unique Bulgarian bells, Eleventh International Conference on System Analysis and Information Technologies, Kyiv, Ukraine, 2009 281. Dominic Mainz, Deep integration of the OWL ontology language into Ruby using metaprogramming, Mathematisch-Naturwissenschaftlichen Fakultät der Heinrich-Heine-Universität Düsseldorf, Dezember 2008. 282. Nuri F. Ince, Giuseppe Pellizzer, Ahmed H. Tewfik, Katie Nelson, Arthur Leuthold, Kate McClannahan, Massoud Stephane, Classification of schizophrenia with spectro-temporo-spatial MEG patterns in working memory, Clinical Neurophysiology 120 (2009) 1123–1134. 283. David Thybert, Stephane Avner, Celine Lucchetti-Miganeh, Frederique Barloy-Hubler, Computer-Assisted Automatic Classifications, Storage, Queries and Functional Assignments of Orthologs and In-Paralogs Proteins, Current Bioinformatics, Vol. 4, No. 2., pp. 129-140. 284. Ioanna Lykourentzou, Ioannis Giannoukos, Vassilis Nikolopoulos, George Mpardis, Vassili Loumos, Dropout prediction in e-learning courses through the combination of machine learning techniques, Computers & Education xxx (2009) xxx–xxx. 285. Jakkrit TeCho Cholwich Nattee Thanaruk Theeramunkong, A Corpus-Based Approach for Automatic Thai Unknown Word Recognition using Ensemble Learning Techniques, PAKDD 2009, LNAI 5476, pp. 533–540, 2009. 286. Tihomir Trifonov, Tsvetanka Georgieva, Application for Discovering the Constraint-Based Association Rules in an Archive for Unique Bulgarian Bells, European Journal of Scientific Research ISSN 1450-216X Vol.31 No.3 (2009), pp.366-371

287. Eric Y.T. Juan, W.J. Li, J.H. Jhang, C.H. Chiu, Predicting Protein Subcellular Localizations for Gram-Negative Bacteria using DP-PSSM and Support Vector Machines, IIBM 2009. 288. Juana María Ruiz-Martínez, Dagoberto Castellanos-Nieves , Rafael Valencia-García, Jesualdo Tomás Fernández-Breis, Francisco García-Sánchez , Pedro José Vivancos-Vicente, Juan Salvador Castejón-Garrido, Juan Bosco Camón and Rodrigo Martínez-Béjar, Accessing Touristic Knowledge Bases through a Natural Language Interface , Lecture Notes in Computer Science, Volume 5465/2009, Pages 147-160. 289. Manolis Vavalis, ON THE IMPACT OF KNOWLEDGE MANAGEMENT OF 3-DIMENSIONAL ARCHAELOGY & CULTURAL HERITANCE, The 14th International Conference on Virtual Systems and MultiMedia VSMM 2008 Workshops on Digital Heritage, Limassol Cyprus - October 20th - 25th, 2008 290. Yang MingYin, Junmei Ji Genlin, Classification Methods on Imbalanced Data:a Survey, JOURNAL OF NANJING NORMAL UNIVERSITY(ENGINEERING AND TECHNOLOGY). 291. Khan, Aurangzeb; Khan, Khairullah; Baharudin, Baharum B., Frequent Patterns Minning of Stock Data Using Hybrid Clustering Association Algorithm, International Conference on Information Management and Engineering, Volume , Issue , 3-5 April 2009 Page(s):667 – 671. 292. Ana Peleteiro Ramallo, CONTRIBUCIONES AL MODELADO Y SIMULACION DEL TRAFICO URBANO EN NETLOGO, UNIVERSIDADE DE VIGO ESCUELA TECNICA SUPERIOR DE INGENIEROS DE TELECOMUNICACION, CURSO 2008-2009. 293. Raul Martin , Ramon A. Mollineda and Vicente Garcia, Melodic Track Identification in MIDI Files Considering the Imbalanced Context, Lecture Notes in Computer Science, Volume 5524/2009, Pages 489-496 294. Chris Seiffert, Taghi M. Khoshgoftaar and Jason Van Hulse, Hybrid sampling for imbalanced data, Integrated Computer-Aided Engineering 16 (2009) 193–210 295. Muhammad Atif Tahir, Josef Kittler, Krystian Mikolajczyk and Fei Yan, A Multiple Expert Approach to the Class Imbalance Problem Using Inverse Random under Sampling, Lecture Notes in Computer Science, Volume 5519/2009, pp. 82-91. 296. Chen, Lifei; Wang, Shengrui; Jiang, Qingshan, A Robust Algorithm for Fuzzy Document Clustering, International Conference on Advanced Information Networking and Applications, 26-29 May 2009 Page(s):679 – 684. 297. Xueping Peng, Yujuan Cao, Zhendong Niu, "Mining Web Access Log for the Personalization Recommendation," mmit, pp.172-175, 2008 International Conference on MultiMedia and Information Technology, 2008 298. Joao Pedro Carvalho Leal Mendes Moreira, Travel Time Prediction for the Planning of Mass Transit Companies: a Machine Learning Approach, Departamento de Engenharia Informatica, Faculdade de Engenharia da Universidade do Porto, Novembro de 2008 299. Shuo Wang and Ke Tang and Xin Yao, Diversity Exploration and Negative Correlation Learning on Imbalanced Data Sets, International Joint Conference on Neural Networks 2009, Atlanta, Georgia, USA, Page(s):3259 - 3266. 300. Lee, M., Pedrycz, W., Adaptive learning of ordinal-numerical mappings through fuzzy clustering for the objects of mixed features, Fuzzy Sets and Systems 161 (4), pp. 564-577, 2010. 301. Amelia Zafra and Sebastián Ventura, Predicting Student Grades in Learning Management Systems with Multiple Instance Genetic Programming, Educational Data Mining 2009.

302. Abdullah S. Al-Mudimigh, Farrukh Saleem, Zahid Ullah, The effects of data mining in ERP-CRM model: a case study of MADAR, WSEAS Transactions on Computers, Volume 8, Issue 5 (May 2009), pages 831-843 303. Cheng-Hsiung Lee , P. W. Huang, Classification for Pathological Prostate Images Based on Fractal Analysis, 2008 Congress on Image and Signal Processing, Vol. 3, pp. 113-117, May 2008. 304. TIBERIU BAN, CONCEPT PAPER: GENERATING AND ASSESSING TEST PAPERS COMPLEXITY USING PREDICTIONS IN EVOLUTIONARY ALGORITHMS, KNOWLEDGE ENGINEERING: PRINCIPLES AND TECHNIQUES, Proceedings of the International Conference on Knowledge Engineering, Principles and Techniques, KEPT2009, Cluj-Napoca (Romania), July 24, 2009, pp. 280-283 305. Anoop Cherian, Machine Learning in Computer Vision - A Tutorial, as a part of SSR-RC Spring Meeting, Digital Technology Center, University of Minnesota, 2009. 306. Cheng-Fa Tsai, Yu-Tai Su, Chiu-Yen Tsai and Chun-Yi Sung, The Investigation of Discovering Potential Musical Instruments Teachers By Effective Data Clustering Scheme, WSEAS TRANSACTIONS on COMPUTERS, Issue 6, Volume 8, June 2009, 1030-1039. 307. Paul Dan Cristea, Application of Neural Networks In Image Processing and Visualization, NATO Science for Peace and Security Series C: Environmental Security, pp. 59-71, ISBN 978-90-481-2898-3 (Print) 978-90-481-2899-0 (Online) 308. Swathi Pakalapati, INTEGRATED DATA-DRIVEN TECHNIQUES FOR ENVIRONMENTAL POLLUTION MONITORING, Doctor of Philosophy, Louisiana State University, August 2009. 309. Chung-Hong Lee, Hsin-Chang Yang, Chih-Hong Wu, and Yi-Chia Lan, A two-stage hybrid approach for feature selection in microarray analysis, 2009 Ninth International Conference on Hybrid Intelligent Systems, pp. 188- 191. 310. Ronie-Rey Nixon, Artificial Neural Network – Learning Networks in Cooperative Gaming Agents, Supervisor: David Seal, June 2008. 311. Rung-Ching Chen, Pao-Cho Tsan, I-Yen Lee, Jiin-Chyr Hsu, Medical Adverse Events Classification for Domain Knowledge Extraction, 2009 Ninth International Conference on Hybrid Intelligent Systems, pp. 298-303. 312. Loris Nanni, Alessandra Lumini, Using ensemble of classifiers for predicting HIV protease cleavage sites in proteins, Amino acids, 2009, Vol.36(no.3). 313. Mrutyunjaya Panda and Manas Ranjan Patra, Meta Classifiers for building an efficient Network intrusion detection system, International Journal of Computer Science and Security (IJCSS), 2009, volume3, Issue4. 314. Mrutyunjaya Panda and Manas Ranjan Patra, Meta Classifiers for building an efficient Network intrusion detection system, International Journal of Computer Science and Security (IJCSS), 2009, volume3, Issue4. 315. Joaquim Pereira da Fonseca, FACTORES DETERMINANTES DA SATISFAÇÃO E O TURISMO NO DISTRITO DA GUARDA: INQUÉRITO E ANÁLISE ESTATÍSTICA, Dissertação de Mestrado em Marketing, Porto, Dezembro de 2007 316. Scott Martens, Quantitative analysis of treebanks using frequent subtree mining methods, Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing, ACL-IJCNLP 2009, pages 84–92, Suntec, Singapore, 7 August 2009

317. M. Martnez-Ballesteros, F. Martnez- Alvarez, A. Troncoso, and J. C. Riquelme, Quantitative Association Rules Applied to Climatological Time Series Forecasting, IDEAL 2009, LNCS 5788, pp. 284–291, 2009. 318. Ιωάννα Ε. Λυκουρέντζου, Βελτιστοποίηση συστηµάτων εκπαίδευσης και συλλογικής ευφυΐας βασισµένη σε µοντελοποίηση συµπεριφοράς και τεχνικές µηχανικής µάθησης, ∆Ι∆ΑΚΤΟΡΙΚΗ ∆ΙΑΤΡΙΒΗ, Αθήνα, Ιούνιος 2009 319. Muhammad Usman Rashid, Balakrishna Garapati, Prevention of Spyware by Runtime Classification of End User License Agreements, School of Computing, Blekinge Institute of Technology, Soft Center, SWEDEN 320. Ιωάννα Ε. Λυκουρέντζου, Βελτιστοποίηση συστηµάτων εκπαίδευσης και συλλογικής ευφυΐας βασισµένη σε µοντελοποίηση συµπεριφοράς και τεχνικές µηχανικής µάθησης, ∆Ι∆ΑΚΤΟΡΙΚΗ ∆ΙΑΤΡΙΒΗ, Αθήνα, Ιούνιος 2009 321. DEISE DE BRUM SACCOL, Detecção, Gerenciamento e Consulta a Réplicas e a Versões de Documentos XML, Tese apresentada como requisito parcial para a obtenção do grau de Doutor em Ciência da Computação, UNIVERSIDADE FEDERAL DO RIO GRANDE DO SULINSTITUTO DE INFORMÁTICA PROGRAMA DE PÓS-GRADUAÇÃO EM COMPUTAÇÃOPorto Alegre, outubro de 2008. 322. C. J. Ramirez, Razonamiento Aproximado y Adaptable en el Procesameniento de Consultas Vagas, PhD thesis, University of Colombia, 2008. 323. Corrado Loglisci, Donato Malerba: Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies. Petra Perner (Ed.): Machine Learning and Data Mining in Pattern Recognition, 6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25, 2009. Proceedings. Lecture Notes in Computer Science 5632, Springer 2009. 324. Diethelm Wuertz, Yohan Chalabi, William Chen, Andrew Ellis, Portfolio Optimization with R/Rmetrics, Rmetrics Association and Finance Online, Zurich, 2009. 325. Yu-Chen Song, Hai-Dong Meng, Michael J. O’Grady, Gregory M. P. O’Hare, The application of cluster analysis in geophysical data interpretation, Computational Geosciences, 14 (2): 263-271. 326. Levon Aslanyan, Hasmik Sahakyan, CHAIN SPLIT AND COMPUTATIONS IN PRACTICAL RULE MINING, International Book Series "Information Science and Computing", pp. 132-135. 327. Liewean Cheng, Su-Chuan Chen, Jashen Chen, Applying weighted association rules with the consideration of product item relevancy, International Conference on Service Systems and Service Management, 2009. ICSSSM, Issue , 8-10 June 2009 Page(s):888 – 893. 328. Yi Zhi Zhao; Xiang Li, A Dual-Momentum Hybrid Wavelet Neural Net (DM-HWNN): Its performance evaluation and application, 7th IEEE International Conference on Industrial Informatics, 2009. INDIN 2009, 23-26 June 2009 Page(s):325 – 330. 329. Duemong, Fudailah; Preechaveerakul, Ladda; Vanichayobon, Sirirut, 2009 International Conference on Future Computer and Communication, 3-5 April 2009 Page(s):140 – 144. 330. Seifert, Christin; Lex, Elisabeth, 13th International Conference Information Visualisation, 2009, 15-17 July 2009 Page(s):490 – 495. 331. Weicai Zhong; Raahemi, B.; Jing Liu, Learning on Class Imbalanced Data to Classify Peer-to-Peer Applications in IP Traffic using Resampling Techniques,

International Joint Conference on Neural Networks, 2009. IJCNN 2009. 14-19 June 2009 Page(s):3548 – 3554 332. Yongmei, Liu; Yong, Guan, Application in Market Basket Research Based on FP-Growth Algorithm, 2009 WRI World Congress on Computer Science and Information Engineering, March 31 2009-April 2 2009 Page(s):112 – 115. 333. Thomas Debray, Classification in Imbalanced Datasets, Master's Thesis in Artificial Intelligence Faculty of Humanities and Sciences, Maastricht University 334. Christopher Willcocks, Object Clustering for Game Environments, Thesis, Computer Science in the Department of Computer Science, Durham University 335. Thomas Debray, Classification in Imbalanced Datasets, Master's Thesis in Artificial Intelligence Faculty of Humanities and Sciences, Maastricht University 336. Yuepeng Wang, Integrative Methods for Gene Data Analysis and Knowledge Discovery on the Case Study of KEDRI’s Brain Gene Ontology, Master of Computer and Information Sciences, Auckland University of Technology, 2008. 337. Marcos ZUNIGA, Incremental Learning of Events in Video using Reliable Information, Docteur en Sciences de l’Universit´e de Nice-Sophia Antipolis, 2008. 338. Esteban Sait Abait, Aspect Mining Mediante Análisis Dinámico y Reglas de Asociación, TESIS DE GRADO DE LA CARRERA DE INGENIERÍA DE SISTEMAS, Universidad Nacional del Centro de la Provincia de Buenos Aires. 339. Yen-Hsien Lee, Wan-Jung Tsao and Tsai-Hsin Chu, Use of Ontology to Support Concept-Based Text Categorization, Lecture Notes in Business Information Processing, Designing E-Business Systems. Markets, Services, and Networks, 2009, Pages 201-213. 340. CHING-CHIANG YEH, DER-JANG CHI, AND SIN-JIN LIN, A Study for Detecting Enterprise Financial Statement Fraud, Asian Journal of Management and Humanity Sciences, Vol. 3, Nos. 1-4, pp. 15-30, 2008 341. Hiroshi Ogura, Hiromi Amano, Masato Kondo, Distinctive characteristics of a metric using deviations from Poisson for feature selection, Expert Systems with Applications, In Press, Accepted Manuscript, Available online 8 August 2009 342. Biddiss, E., Brownsell, S., Hawley, M.S., Predicting need for intervention in individuals with congestive heart failure using a home-based telecare system, Journal of Telemedicine and Telecare 15 (5), pp. 226-231 343. Lei Liu, Autonomous Machine Learning Networks, Context-Aware Computing and Self-Managing Systems (book), Waltenegus Dargie (Ed), pp. 274-306. 344. Andrew Gelman, Iwin Leenen, Iven Van Mechelen, Paul De Boeck, Jeroen Poblome, Bridges between deterministic and probabilistic models for binary data, To appear in Statistical Methodology. 345. Nguyen, C., Phan, X., Horiguchi, S., Nguyen, T., and Ha, Q. 2009. Web Search Clustering and Labeling with Hidden Topics. ACM Transactions on Asian Language Information Processing (TALIP) 8, 3 (Aug. 2009), 1-40. DOI= http://doi.acm.org/10.1145/1568292.1568295 346. Huang-Cheng Kuo, Pei-Cheng Tsai, Jen-Peng Huang, Finding Time-delayed Gene Regulation Patterns from Microarray Data, 2009 Ninth International Conference on Hybrid Intelligent Systems, 12-14 Aug. 2009 Page(s):117 - 122 347. Cameron James Higgins, Emotion Recognition based on Physiological Signals, Thesis, The University of Sydney, Faculty of Engineering, School of Electrical and Information Engineering, 2009

348. Jha, S. K.; Yadava, R. D. S., Preprocessing of SAW Sensor Array Data and Pattern Recognition, Sensors Journal, Volume 9, Issue 10, Oct. 2009 Page(s):1202 – 1208 349. Duemong, F.; Preechaveerakul, L.; Vanichayobon, S., FIAST: A Novel Algorithm for Mining Frequent Itemsets, International Conference on Future Computer and Communication, 2009. ICFCC 2009. 3-5 April 2009 Page(s):140 – 144 350. Seifert, C.; Lex, E. A Novel Visualization Approach for Data-Mining-Related Classification, 13th International Conference Information Visualisation, 2009, 15-17 July 2009 Page(s):490 – 495 351. R. Chulaka Gunasekara, B. B. Akila Geethal, Mafaz Hassan, Prophetia: Artificial Intelligence for TravelBox Technology, Advances in Computational Intelligence (book), Editors: Wen Yu, Edgar N. Sanchez, 2009, Springer. 352. Thai-Nghe Nguyen, Andre Busche, Lars Schmidt-Thieme (2009): Improving Academic Performance Prediction by Dealing with Class Imbalance, in 9th IEEE International Conference on Intelligent Systems Design and Applications (ISDA 2009), Pisa, Italy. 353. Paolo Soda, A Hybrid Approach Handling Imbalanced Datasets, ICIAP 2009, LNCS 5716, pp. 209–218, 2009. 354. Thai-Nghe Nguyen, Andre Busche, Lars Schmidt-Thieme (2009): Improving Academic Performance Prediction by Dealing with Class Imbalance, in 9th IEEE International Conference on Intelligent Systems Design and Applications (ISDA 2009), Pisa, Italy. 355. M. A. Al-Alaoui, " Al-Alaoui Pattern Recognition Algorithm: A MSE Asymptotic Bayesian Approach to Boosting " The 2009 International Conference on Image Processing and Computer Vision (IPCV'09), Las Vegas, July 13-16 2009. 356. Efi Papatheocharous and Andreas S. Andreou, Approaching Software Cost Estimation Using an Entropy-Based Fuzzy k-Modes Clustering Algorithm, AIAI-2009 Workshops Proceedings, pp. 231-241. 357. Gints Jekabsons, Adaptive Basis Function Construction: An Approach for Adaptive Building of Sparse Polynomial Regression Models, Machine Learning 358. Barbora Pěchotová, SROVNÁNÍ KLASIFIKAČNÍCH METOD PRO APLIKACI NA BIOLOGICKÝCH DATECH, MASARYKOVA UNIVERZ ITA, PŘÍRODOVĚDECKÁ FAKULTA, 2009 359. A. Abdullah S. Al-Mudimigh, B. Farrukh Saleem, C. Zahid Ullah, DEVELOPING AN INTEGRATED DATA MINING ENVIRONMENT IN ERP-CRM MODEL – A CASE STUDY OF MADAR, INTERNATIONAL JOURNAL OF EDUCATION AND INFORMATION TECHNOLOGIES, Issue 2, Volume 3, 2009, pp. 135-144 360. Ashley Healy, Communities of Practice as a Support Function for Social Learning in Distance Learning Programs, Communications in Computer and Information Science, Best Practices for the Knowledge Society. Knowledge, Learning, Development and Technology for All, Pages 49-56, Spinger, 2009. 361. Qingshan Deng, Application of support vector machine in the detection of fraudulent financial statements, 4th International Conference on Computer Science & Education, 2009. ICCSE '09. 25-28 July 2009 Page(s):1056 – 1059 362. Yan, Zhiyong; Xu, Congfu, Studies on classification models using decision boundaries, 8th IEEE International Conference on Cognitive Informatics, 2009. ICCI 09, 15-17 June 2009 Page(s):287 – 294 363. Deng, Qingshan; Mei, Guoping, Combining self-organizing map and K-means clustering for detecting fraudulent financial statements, IEEE International

Conference on Granular Computing, 2009, GRC '09. 17-19 Aug. 2009 Page(s):126 – 131. 364. Mukhopadhyay, A.; Maulik, U.; Bandyopadhyay, S., Multiobjective Genetic Algorithm-Based Fuzzy Clustering of Categorical Attributes, IEEE Transactions on Evolutionary Computation, Volume 13, Issue 5, Oct. 2009 Page(s):991 – 1005. 365. Soda, Paolo, An experimental comparison of MES aggregation rules in case of imbalanced datasets, 22nd IEEE International Symposium on Computer-Based Medical Systems, 2009. CBMS 2009. 2-5 Aug. 2009 Page(s):1 – 6 366. Rahman, Shuzlina Abdul; Abu Bakar, Azuraliza; Hussein, Zeti Azura Mohamed, Feature selection and classification of protein subfamilies using Rough Sets, International Conference on Electrical Engineering and Informatics, 2009. ICEEI '09. Volume 01, 5-7 Aug. 2009 Page(s):32 – 35 367. Jianwen Xie, Weigang Jiang, and Xiaoxiang Liu, Feature Subset Selection Using Association Rules, The 2009 World Congress in Computer Science, Computer Engineering, and Applied Computing, WORLDCOMP'09, Nevada, USA, July 13-16 2009. 368. Mikael Kuusela, Jerry W. Lämsä, Eric Malmi, Petteri Mehtälä and Risto Orava, Multivariate Techniques for Identifying Diffractive Interactions at the LHC, High Energy Physics - Experiment (hep-ex), arXiv:0909.3039v1 [hep-ex] 369. Mehmet ACI, Developoment of hybrid classification method for machine learning, Msc Thesis, Department of Computer Engineering, Adana, 2009. 370. Constanta-Nicoleta Bodea, Project Management Competences Development Using an Ontology-Based e-Learning Platform, Lecture Notes in Computer Science, Volume 5736/2009, Pages 31-39 371. Achim Hoffmann and Ashesh Mahidadia, Machine Learning, Scientific Data Mining and Knowledge Discovery, Pages 7-52, Springer Berlin Heidelberg, 2009. 372. S. Saeedi, F. Samadzadegan, N. El-Sheimy, OBJECT EXTRACTION FROM LIDAR DATA USING AN ARTIFICIAL SWARM BEE COLONY CLUSTERING ALGORITHM, In: Stilla U, Rottensteiner F, Paparoditis N (Eds) CMRT09. IAPRS, Vol. XXXVIII, Part 3/W4 --- Paris, France, 3-4 September, 2009, pp. 133-138. 373. Jianhua Che , Qinming He, Yinggang Zhao, Feng Qian and Qi Chen, Cluster Analysis and Fuzzy Query in Ship Maintenance and Design, Lecture Notes in Computer Science, Volume 5755/2009, pp. 458-467. 374. Marivate, V.N., Marwala, T., Introduction of social learning in board games, ICIC Express Letters 3 (3), pp. 253-258, 2009. 375. Dustin Baumgartner, Global-Local Hybrid Classification Ensembles: Robust Performance with a Reduced Complexity, Master of Science in Engineering, The University of Toledo, May 2009 376. ITZAMÁ LÓPEZ YÁÑEZ, CLASIFICADOR AUTOMÁTICO DE ALTO DESEMPEÑO, CENTRO DE INVESTIGACIÓN EN COMPUTACIÓN, Thesis, MÉXICO, D.F. JUNIO DE 2007 377. Xinghua Hu , Bin Wu, Classification and Summarization of Pros and Cons for Customer Reviews, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, September 2009, pp. 73-76 378. Dillon, Darshan; Hadzic, Maja, A framework for detecting financial statement fraud through multiple data sources, DEST '09. 3rd IEEE International Conference on Digital Ecosystems and Technologies, 2009. 1-3 June 2009 Page(s):692 – 696 379. Kwan Wai LEUNG, Commentary-based Video Categorization and Concept Discovery, Post-graduate research symposium, HKBU Computer Science Department, Aug 31st - Sep 1st, 2009

380. F. Samadzadegan, S. Saeedi, CLUSTERING OF LIDAR DATA USING PARTICLE SWARM OPTIMIZATION ALGORITHM IN URBAN AREA, ISPRS proceedings, XXXVIII, 2009. 381. Mehmet Aci, Development of a hybrid classification method for machine learning, Thesis, Department of Computer Engineering, Adana, 2009. 382. Robertas Damasevicius, Analysis of Academic Results for Informatics Course Improvement Using Association Rule Mining, Information Systems Development: Towards a Service Provision Society, Papadopoulos, G.A.; Wojtkowski, W.; Wojtkowski, G.; Wrycza, S.; Zupancic, J. (Eds.), 2009, pp. 357-363. 383. Gaber, Mohamed Medhat, Scientific Data Mining and Knowledge Discovery: Principles and Foundations, 2009, 400 p.,ISBN: 978-3-642-02787-1 384. Dash, M. and Singhania, A. 2009. Mining in Large Noisy Domains. J. Data and Information Quality 1, 2 (Sep. 2009), 1-30. 385. Chukwuemeka David Emele, Timothy J. Norman, Simon Parsons, Argumentation-based agent support for learning policies in a coalition mission, Annual Conference of ITA, USA, 2009. 386. Lefort, R.; Fablet, R.; Boucher, J-M, Weakly supervised classification with bagging in fisheries acoustics, WISP 2009. IEEE International Symposium on Intelligent Signal Processing, 26-28 Aug. 2009 Page(s):143 – 146. 387. Y. İşler, M, Kuntalp, Heart rate normalization in the analysis of heart rate variability in congestive heart failure, Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 224 (3), pp. 453-463. 388. Chen, N., Marques, N.C., A batch learning vector quantization algorithm for categorical data, ICAART 2009 - Proceedings of the 1st International Conference on Agents and Artificial Intelligence, pp. 77-84. 389. Marivate, V.N., Marwala Sr., T., Social learning methods in board game agents, 2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008, art. no. 5035657, pp. 323-328. 390. Shuo Wang and Xin Yao, Theoretical Study of the Relationship Between Diversity and Single-Class Measures for Class Imbalance Learning, ICDM2009, pp. 76-81. 391. C.L. de Almeida, A. Ferreira, C. Costa, Gestao integrada do conhecimento no sector turistico. Proposta de matriz de analise, PASOS, Vol 7 (3), pp. 475-490, 2009. 392. Čeh, I., Ojsteršek, M., Developing a question answering system for the Slovene language, 2009 WSEAS Transactions on Information Science and Applications 6 (9), pp. 1533-1543. 393. Urszula Markowska-Kaczmar and Tomasz Switek, Combined Unsupervised-Supervised Classification Method, KES 2009, Part II, LNAI 5712, pp. 861–868, 2009. 394. Erika Rodallegas R., Areli Torres G., Miguel A. Celis F., Modelo predictivo para la determinación de causas de reprobación mediante minería de datos, Grupos de Trabajo XXV Simposio de Computación en la Educación Martes 20 de octubre de 2009 Sesión de la Mañana 395. Shankar.S and Dr.T.Purusothaman, A Novel Utility Sentient Approach For Mining Interesting Association Rules, ISAST Transactions on Computers and Intelligent Systems, No. 1, Vol. 1, 2009. 396. Sathi Marath, Michael Shepherd and Evangelos Milios, Large-Scale Web Page Classification, APICS Mathematics, Statistics and Computer Science Conference, Dalhousie University October 23-24, 2009

397. M. Amoretti, F. Wientapper, F. Furfari, S. Lenzi and S. Chessa, "Sensor Data Fusion for Activity Monitoring in Ambient Assisted Living Environments", Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Sensor Systems and Software, Scube 09, pp. 206-221. 398. Alejandro Hadad, Diego Evin y Bartolomé Drozdowicz, Modelo para el Tratamiento de Datos Desbalanceados basado en Redes Neuronales Autoorganizadas, XVII CONGRESO ARGENTINO DE BIOINGENIERIA, VI JORNADAS DE INGENIERIA CLINICA 399. Alejandro Hadad, Diego Evin y Bartolomé Drozdowicz, Modelo para el Tratamiento de Datos Desbalanceados basado en Redes Neuronales Autoorganizadas, XVII CONGRESO ARGENTINO DE BIOINGENIERIA, VI JORNADAS DE INGENIERIA CLINICA 400. Σιντόρης, Κωνσταντίνος, ∆ιερεύνηση πρακτικών τεχνολογίας λογισµικού στην Ελληνική βιοµηχανία λογισµικού µε τις στατιστικές µεθόδους και τεχνικές εξόρυξης δεδοµένων, ∆ιπλωµατική εργασία--Πανεπιστήµιο Μακεδονίας, Θεσσαλονίκη, 2008. 401. Georg Ruß and Rudolf Kruse, Feature Selection for Wheat Yield Prediction , Research and Development in Intelligent Systems XXVI, Pages 465-478, 2009. 402. Shuqing Wang, Li She, Zhen Liu, Yan Fu, Algorithm Research on User Interests Extracting via Web Log Data, 2009 International Conference on Web Information Systems and Mining, pp. 93-97. 403. M. Carmen Garrido , Jose M. Cadenas and Piero P. Bonissone, A classification and regression technique to handle heterogeneous and imperfect information, Soft Computing - A Fusion of Foundations, Methodologies and Applications, pp. 1165-1185 404. Chukwuemeka David Emele, Timothy J. Norman, Frank Guerin, Simon Parsons, Learning policy constraints through dialogue, 5th-7th November 2009, Washington D.C. as part of the AAAI 2009 Fall Symposium Series 405. Xiao-Chen Li, Wen-Ji Mao, Daniel Zeng, Peng Su and Fei-Yue Wang, Performance Evaluation of Machine Learning Methods in Cultural Modeling, Journal of Computer Science and Technology, Volume 24, Number 6 / November, 2009, 1010-1017 406. Liang, Jie; Lv, Wei; Research on detecting technique of financial statement fraud based on Fuzzy Genetic Algorithms BPN, ICMSE 2009. International Conference on Management Science and Engineering, 14-16 Sept. 2009 Page(s):1462 – 1468. 407. S. Casalegno, G. Amatulli, A. Camia, A. Nelson, A. Pekkarinen, Vulnerability of Pinus cembra L. in the Alps and the Carpathian mountains under present and future climates, Forest Ecology and Management, Volume 259, Issue 4, 5 February 2010, Pages 750-761 408. Mingyan Shao, Feature Analysis and Classification, Degree of Doctor of Philosophy, Northeastern University, College of Computer and Information Science, 2009. 409. Hang, Yang; Fong, Simon, A Framework of Business Intelligence-Driven Data Mining for E-business, Fifth International Joint Conference on INC, IMS and IDC, 2009 Volume , Issue , 25-27 Aug. 2009, Page(s):1964 – 1970

410. Al-Mudimigh, Abdullah S.; Ullah, Zahid; Saleem, Farrukh; Al-Aboud, Fahad N.; Data Mining for Customer Queries in ERP Model A Case Study, Fifth International Joint Conference on INC, IMS and IDC, 2009 Volume , Issue , 25-27 Aug. 2009, Page(s):2000 – 2005 411. Richard Rørmark, Thanatos – a learning RTS Game AI, Master thesis, UNIVERSITY OF OSLO, Department of Informatics, November 2, 2009. 412. Guillaume MULLER and Jaime S. SICHMAN, Selecting Learning Algorithms for the Design of Virtual Players in Natural Resources Management Platforms, VIII Brazilian Symposium on Games and Digital Entertainment, Rio de Janeiro, RJ – Brazil, October, 8th-10th 2009 413. YIN Qian HU Xue-gang XlE Fei WU Xin-dong, Keyword Extraction Method Based on Density Clustering for Chinese News Web Pages, JOURNAL OF GUANGXI NORMAL UNIVERSITY(NATURAL SCIENCE EDITION), 2009 27(1) 414. Jyhshyan Lan, Michael Y. Hu, Eddy Patuwo, G. Peter Zhang, An investigation of neural network classifiers with unequal misclassification costs and group sizes, Decision Support Systems (2009), doi: 10.1016/j.dss.2009.11.008 415. P. Matos, Extracao de Informacao em Artigos cientificos relacionantos a doenca anemia falsiforme, Thesis, University of Cao Carlos, 2009 416. Akinwale Adio T, Arogundade O.T. and Adekoya Adebayo F., TRANSLATED NIGERIA STOCK MARKET PRICES USING ARTIFICIAL NEURAL NETWORK FOR EFFECTIVE PREDICTION, Journal of Theoretical and Applied Information Technology, 2009, Vol 9(1), 36-43 417. Adriano Veloso, Mohammed Zaki, Wagner Meira 1, Marcos Gonçalves, Competence-conscious associative classification, Statistical Analysis and Data Mining, Copyright © 2009 Wiley Periodicals 418. Joy Chiang, Vanessa Tidwell, Patricio S. La Rosa, Arye Nehorai, Characterizing Odors Using Electronic Nose Sensors, UGR Symposium09. 419. Alessandra Paladini, A Computational Approach to the Study of an In-Vitro Population of Spontaneously Reverberating Neurons: Biological Models of Neuronal Networks and Statistical Methods for the Analysis of Their Ensemble Spiking Activity. Thesis, Università degli Studi di Milano - Bicocca, 2008-09 420. Ye, Zhi-Fei, Wen, Yi-Min, Lu, Bao-Liang, A survey of unbalanced pattern classification problems, Zhineng Xitong Xuebao (CAAI Transactions on Intelligent Systems). Vol. 4, no. 2, pp. 148-154. Apr. 2009 421. Jekabsons, G, Lavendels, J, A comparison of subset selection and adaptive basis function construction for polynomial regression model buelding, Scientific Proceedings of Riga Technical University, Series 5: Computer Science. Vol. 38, no. 5, pp. 187-197. 2009 422. Geza Kovacs, Algorithmically Deriving Key Visual Elements of Emotion Expression, Massachussets Institute of Technology 423. WASHINGTON RAÚL BASTIDAS SANTOS, JESUS HUMBERTO GONZÁLEZ VERA, “Implementación y evaluación de un detector masivo de Web Spam”, ESCUELA SUPERIOR POLITÉCNICA DEL LITORAL, Guayaquil – Ecuador, 2009. 424. Ján SUCHAL, Peter VOJTEK, Navigácia v sociálnej sieti obchodného registra SR, Dušan Chlapek (ed.), DATAKON 2009, Srní, 10. - 13.10.2009, pp. 1-7. 425. Qinglei Zhang and Wenying Feng, Network Intrusion Detection by Support Vectors and Ant Colony, Proceedings of the 2009 International Workshop on Information Security and Application (IWISA 2009) , Qingdao, China, November 21-22, 2009.

426. Ali, A., Tufail, A., Khan, U., and Kim, M. 2009. A survey of prediction models for breast cancer survivability. In Proceedings of the 2nd international Conference on interaction Sciences: information Technology, Culture and Human (Seoul, Korea, November 24 - 26, 2009). ICIS '09, vol. 403. ACM, New York, NY, 1259-1262. DOI=http://doi.acm.org/10.1145/1655925.1656155 427. Hosseinizadeh, Pouyan; Guergachi, Aziz; Magness, Vanessa; Predicting system collapse: Two theoretical models, IEEE International Conference onSystems, Man and Cybernetics, 2009. SMC 2009. 11-14 Oct. 2009 Page(s):1078 – 1083. 428. Mutalib, Sofianita; Ali, Nor Azlin; Rahman, Shuzlina Abdul; Mohamed, Azlinah; An exploratory study in classification methods for patients' dataset, 2nd Conference on Data Mining and Optimization, 2009. DMO '09. 27-28 Oct. 2009 Page(s):79 – 83. 429. Rahman, Shuzlina Abdul; Bakar, Azuraliza Abu; Hussein, Zeti Azura Mohamed; Filter-wrapper approach to feature selection using RST-DPSO for mining protein function, 2nd Conference on Data Mining and Optimization, 2009. DMO '09. 27-28 Oct. 2009 Page(s):71 – 78. 430. Bakar, Azuraliza Abu; Othman, Zulaiha Ali; Shuib, Nor Liyana Mohd; Building a new taxonomy for data discretization techniques, 2nd Conference on Data Mining and Optimization, 2009. DMO '09. 27-28 Oct. 2009 Page(s):132 – 140. 431. Jeatrakul, P.; Wong, K.W.; Comparing the performance of different neural networks for binary classification problems, Eighth International Symposium on Natural Language Processing, 2009. SNLP '09. 20-22 Oct. 2009 Page(s):111 – 115 432. Suzana Kosir, Study support as students' motivation for study, International Journal of Management in Education, Volume 4, Number 1 / 2010, Pages: 25 – 45 433. Rafael Guzmán Cabrera, Categorización Semi‐supervisada de Documentos, Usando la Web como Corpus, Paolo Rosso, Universida Politécnica de Valencia, España, 2009. 434. Margarita Gallardo Campos, Aplicación de técnicas de clustering para la mejora del aprendizaje, Thesis, UNIVERSIDAD CARLOS III DE MADRID, 2009. 435. Mrutyunjaya Panda and Manas Ranjan Patra, Semi-Naïve Bayesian Method for Network Intrusion Detection System, ICONIP 2009, Part I, LNCS 5863, pp. 614–621, 2009. 436. Diego S.C. Nascimento and Andr´e L.V. Coelho, Ensembling Heterogeneous Learning Models with Boosting, ICONIP 2009, Part I, LNCS 5863, pp. 512–519, 2009. 437. Janice Kwan Wai Leung, Chun Hung Li, Ting Keung Ip, Commentary-based Video Categorization and Concept Discovery, SWSM’09, November 6, 2009, Hong Kong, China, pp. 49-56. 438. Mehmet Aci, Cigdem İnan, Mutlu Avci, A Hybrid Classification Method of K Nearest Neighbor, Bayesian Methods and Genetic Algorithm, Expert Systems with Applications, In Press, Accepted Manuscript, Available online 9 December 2009. 439. Isabelle Alvarez and Sophie Martin, Explaining a Result to the End-User: A Geometric Approach for Classification Problems, ExaCt 2009. 440. Steven C. Jay, DETECTION OF LEAFY SPURGE (EUPHORBIA ESULA) USING AFFORDABLE HIGH SPATIAL, SPECTRAL, AND TEMPORAL RESOLUTION IMAGERY, Master of Science, MONTANA STATE UNIVERSITY, Bozeman, Montana, January 2010 441. Hyoungtae Cho, Melissa Egan, and Ferhan Ture, Transportation Research Analysis using NLP TechniqueS (TRANS), cmsc 09.

442. Funda Dağ, Kadir Erkan, REALIZING THE PERSONALIZED LEARNING PATHS IN A LMS, 7th, Nicosia, Turkish Republic of Northern Cyprus, May 3-5, 2007. 443. Herramientas para el Pronóstico de la Calificación Crediticia de las Finanzas Públicas Estatales en México: Redes Neuronales Artificiales, Modelo Probit Ordenado y Análisis Discriminante, Premio Nacional Bolsa Mexicana de Valores 2009 444. Kuo, M.H., Kushniruk, A.W., Borycki, E.M., Greig, D., Application of the Apriori algorithm for adverse drug reaction detection, Studies in Health Technology and Informatics 148, pp. 95-101, 2009. 445. El-Gendy, N.S., Moustafa, Y.M., Barakat, M.A.K., Deriase, S.F., Evaluation of a bioslurry remediation of petroleum hydrocarbons contaminated sediments using chemical, mathematical and microscopic analysis, International Journal of Environmental Studies 66 (5), pp. 563-579, 2009. 446. Gypsyamber D’Souza, Hao H. Zhang, Warren D. D’Souza, Robert R. Meyer, Maura L. Gillison, Moderate predictive value of demographic and behavioral characteristics for a diagnosis of HPV16-positive and HPV16-negative head and neck cancer, Oral Oncology 46 (2), pp. 100-104 447. Sabine Barrat, Mod`eles graphiques probabilistes pour la reconnaissance de formes, Soutenance de these de doctorat, Equipe QGAR-LORIA, 2009 448. Shu-Lin Wang, Xueling Li, Shanwen Zhang, Jie Gui, De-Shuang Huang, Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction, Computers in Biology and Medicine, Volume 40 Issue 2, February 2010. 449. Dianmin Yue , Xiaodan Wu , Nana Shen , Chao-Hsien Chu, Logistic Regression for Detecting Fraudulent Financial Statement of Listed Companies in China, 2009 International Conference on Artificial Intelligence and Computational Intelligence, pp. 104-108. 450. Amelia Zafra , Cristbal Romero , Sebatin Ventura, Predicting Academic Achievement Using Multiple Instance Genetic Programming, 2009 Ninth International Conference on Intelligent Systems Design and Applications, pp. 1120-1125. 451. Hsu, Chia-Yu, A Data Mining Framework of Design for Manufacturability in Semiconductor Manufacturing and its Empirical Study, Thesis, National Tsing Hua University of China, GH000937819, http://nthur.lib.nthu.edu.tw/handle/987654321/28637. 452. Luděk Kopáček, Vladimír Olej, NÁVRH ALGORITMŮ NA BÁZI UMĚLÝCH IMUNITNÍCH SYSTÉMŮ PRO ÚLOHY KLASIFIKACE, FES_2008. 453. Di, Fangshu; Zhang, Maolin; An Improving Approach for Recovering Requirements-to-Design Traceability Links, Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on 11-13 Dec. 2009 Page(s):1 – 6. 454. Tucker CS, Kim HM, Data-Driven Decision Tree Classification for Product Portfolio Design Optimization, Journal of Computing and Information Science in Engineering, 9 (4), pp. 1-14, 2009. 455. Telmo de Menezes e Silva Filho, Aprendizado por Quantização Vetorial usando Distâncias Adaptativas, Recife, 17 de novembro de 2009, Universidade Federal de Pernambuco, Centro de Informática - CIn. 456. Jiang PL, Ren FJ, Zheng NN, A NEW APPROACH TO DATA CLUSTERING USING A COMPUTATIONAL VISUAL ATTENTION MODEL,

INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 5 (12A): 4597-4605 DEC 2009. 457. M. Soysal, E.G. Schmidt, Machine learning algorithms for accurate flow-based network traffic classification: Evaluation and comparison, Performance Evaluation (2010), 6 (Jun. 2010), 451-467. 458. Ν. Μαστρογιάννης, Μεθολογικό Πλαίσιο Υποστήριξης της Εξόρυξης Γνώσης από ∆εδοµένα µε την χρήση αρχών της Πολυκριτηριακής Ανάλυσης Αποφάσεων, Τµήµα ∆ιοίκησης Επιχειρήσεων, ∆ιδακτορική ∆ιατριβή, Πανεπιστήµιο Πατρών. 459. P. Rajendran, M. Madheswaran, An Improved Image Mining Technique for Braib Tumour Classification Using Efficient classifier, International Journal of Computer Science and Infornation Security, Vol 6 (3), 2009, pp. 107-116. 460. Ν. Μαστρογιάννης, Μεθολογικό Πλαίσιο Υποστήριξης της Εξόρυξης Γνώσης από ∆εδοµένα µε την χρήση αρχών της Πολυκριτηριακής Ανάλυσης Αποφάσεων, Τµήµα ∆ιοίκησης Επιχειρήσεων, ∆ιδακτορική ∆ιατριβή, Πανεπιστήµιο Πατρών. 461. Ricardo A. Tellez, Distributed neural control for complex autonomous robots, Doctor of Philosophy, Artificial Intelligence, Technical University of Catalonia, 2010. 462. Umarani, V.; Punithavalli, M.; Developing Novel and Effective Approach for Association Rule Mining Using Progressive Sampling, Computer and Electrical Engineering, 2009. ICCEE '09. Second International Conference on Volume 1, 28-30 Dec. 2009 Page(s):610 – 614 463. Alejandro Peña, Rafael Domínguez , José de Jesús Medel, Educational data mining: a sample of review and study case, World Journal on Educational Technology 2 (2009) 118-139 464. Rawat, Sandeep Singh; Rajamani, Lakshmi; Performance of distributed apriori algorithms on a computational grid, Services Computing Conference, 2009. APSCC 2009. IEEE Asia-Pacific 7-11 Dec. 2009 Page(s):163 – 167 465. Pornpimol Bungkomkhun and Surapong Auwatanamongkol, Grid-based Supervised Clustering – GBSC, World Academy of Science, Engineering and Technology 60 2009, pp. 536-543 466. Mirjana Pejic-Bach, Profiling Intelligent Systems Applications in Fraud Detection and Prevention: Survey of Research Articles, 2010 International Conference on Intelligent Systems, Modelling and Simulation, January 2010, pp. 80-85 467. Domenico Consoli, Intelligent Analysis Of On-Line Customer Opinions To Extract Useful Knoweldge In Advanced Enterprises, BRAIN. Broad Research in Artificial Intelligence and NeuroscienceVol. 1, Issue 2 , April 2010 468. Tim Schlüter and Stefan Conrad, Mining Several Kinds of Temporal Association Rules Enhanced by Tree Structures, 2010 Second International Conference on Information, Process, and Knowledge Management, pp. 86-93. 469. Xu, Kaiquan; Liao, Stephen Shaoyi; Lau, Raymond Y.K.; and Wang, Shanshan, "Toward Semantic Annotation for Business Analysis: A Method for Reducing Training Examples" (2009). ICIS 2009 Proceedings. Paper 58. 470. Carlton Downey, New Operators in Linear Genetic Programming for Multiclass Classification, Thesis, School of Mathematics, Statistics and Computer Science, VICTORIA UNIVERSITY OF WELLINGTON 471. Byron C. Wallace, Thomas A. Trikalinos, Joseph Lau, Carla Brodley and Christopher H. Schmid, Semi-automated screening of biomedical citations for systematic reviews, BMC Bioinformatics 2010, 11:55 doi:10.1186/1471-2105-11-55

472. M. Ramaswami and R. Bhaskaran, A CHAID Based Performance Prediction Model in Educational Data Mining, IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 1, No. 1, January 2010. 473. Manfred Mann, Assoziations analyse, Akademische Schriftenreihe, BSc, GRIN Verlag, 2010, ISBN 3640492986, 9783640492985 474. Ghimire, B., Rogan, J. and Miller, J.(2010) 'Contextual land-cover classification: incorporating spatial dependence in land-cover classification models using random forests and the Getis statistic', Remote Sensing Letters, 1:1, 45 — 54 475. Farhad Samadzadegan, Ahmad Abootalebi, Amin Alizadeh, Evaluation of the Potential of Swarm Clustering Techniques in Hyperspectral Data, GIS Ostrava 2010, 24. - 27. 1. 2010. 476. S. Young, I. Arel, T. Karnowski, D. Rose, A Fast and Stable Incremental Clustering Algorithm, ITNG2010 - 7th International Conference on Information Technology: New Generations , art. no. 5501470, pp. 204-209, 2010. 477. Danenas, P., Garsva, G., Support vector machines and their application in credit risk evaluation process, 2009 Transformations in Business and Economics 8 (3 SUPPL. B), pp. 46-58 478. Abdullah S. Al-Mudimigh, Zahid Ullah, Farrukh Saleem, A Framework of an Automated Data Mining Systems Using ERP Model, International Journal of Computer and Electrical Engineering, Vol. 1, No. 5 December, 2009, 1793-8163 479. B. Falcidieno, M. Pitikakis, M. Spanguolo, M. Vavalis, C. Houstis, FOCUS K3D: PROMOTING THE USE OF KNOWLEDGE INTENSIVE 3D MEDIA, Workshop on 3D Knowledge Technologies for Cultural Heritage Applications, Sept. 12, 2009, in conjunction with VSMM 2009. 480. Manolis Vavalis, ON THE IMPACT OF KNOWLEDGE MANAGEMENT OF 3-DIMENSIONAL ARCHAELOGY & CULTURAL HERITANCE, Workshop on 3D Knowledge Technologies for Cultural Heritage Applications, Sept. 12, 2009, in conjunction with VSMM 2009. 481. S. Shankar and T. Purusothaman, Discovering Imperceptible Associations Based on Interestingness: A Utility-Oriented Data Mining, Data Science Journal, Volume 9, 24 February 2010. 482. Aurangzeb Khan, Baharum Baharudin, Lam Hong Lee, Khairullah khan, A Review of Machine Learning Algorithms for Text-Documents Classification, JOURNAL OF ADVANCES IN INFORMATION TECHNOLOGY, VOL. 1, NO. 1, FEBRUARY 2010. 483. Feras Al-Obeidat, Nabil Belacel, Juan A. Carretero, Prabhat Mahanti, Differential Evolution for Learning the Classification Method PROAFTN, Knowledge-Based Systems 23 (5), pp. 418-426, 2010. 484. Jan Hummel, Nadine Strehmel, Joachim Selbig, Dirk Walther, Joachim Kopka, Decision tree supported substructure prediction of metabolites from GC-MS profiles, Metabolomics, 6 (2), p.322-333, Jun 2010 485. Mădălina M. Drugan, Marco A. Wiering, Feature selection for Bayesian Network Classifiers using the MDL-FS score, International Journal of Approximate Reasoning, 6 (Jul. 2010), 695-717. 486. Debby Damishu, Yanuar Firdaus A.W.,ST.,MT, ZK. Abdurohman Baizal Mkom, WRAPPER FEATURE SELECTION PADA PENGKATEGORISASIAN ARTIKEL BERITA BERBAHASA INDONESIA, TR, Departemen Teknik Informatika Insitut Teknologi Telkom, Bandung. 487. Xin Zhang, Pin Liao, Huiyong Wang, "A New Association Rules Mining Algorithm Based on Vector," Genetic and Evolutionary Computing, International

Conference on, pp. 429-432, 2009 Third International Conference on Genetic and Evolutionary Computing, 2009. 488. Idrissi, M. and Rothkrantz, L. J. 2008. Address block segmentation using ensemble-clustering techniques. In Proceedings of the 9th international Conference on Computer Systems and Technologies and Workshop For PhD Students in Computing (Gabrovo, Bulgaria, June 12 - 13, 2008). B. Rachev and A. Smrikarov, Eds. CompSysTech '08, vol. 374. ACM, New York, NY, II.2-1. DOI= http://doi.acm.org/10.1145/1500879.1500889 489. Will, Todd; Srinivasan, Anand; Im, Il; and Wu, Yi-Fang Brook, "Search Personalization: Knowledge-Based Recommendation in Digital Libraries" (2009). AMCIS 2009 Proceedings. Paper 728, http://aisel.aisnet.org/amcis2009/728 490. Raúl Martın and Ramón A. Mollineda, On the suitability of combining feature selectionand resampling to manage data complexity, Actas de la XIII Conferencia de la Asociación Española para la Inteligencia Artificial. Sevilla, 9 al 13 de noviembre 2009. 491. Ma, Zhongming; Pant, Gautam; and Sheng, Olivia R.L., "A Network-based Approach to Mining Competitor Relationships from Online News" (2009). ICIS 2009 Proceedings. Paper 59. http://aisel.aisnet.org/icis2009/59 492. Janecek, Andreas (2009) Efficient feature reduction and classification methods. Dissertation, Universität Wien. Fakultät für Informatik, BetreuerIn: Gansterer, Wilfried 493. Bankat Madhavrao Patil , Ramesh C. Joshi , Durga Toshniwal and Siddeshwar Biradar, A New Approach: Role of Data Mining in Prediction of Survival of Burn Patients, Journal of Medical Systems 35 (6) , pp. 1531-1542 494. Hsin-Hua Chen, Ping-Feng Pai, Ying-Zhieh Cho, Fong-Chuan Lee, Ja-Chih Fu, An improved support vector machines model in medical data analysis, International Journal of Mathematical Modelling and Numerical Optimisation, Issue: Volume 1, Number 3 / 2010, Pages: 168 – 184. 495. L.S. Affendey, I.H.M. Paris, N. Mustapha, Md. Nasir Sulaiman and Z. Muda, Ranking of Influencing Factors in Predicting Students' Academic Performance, Information Technology Journal, 2010ISSN 1812-5638 496. Elaine Biddiss, Simon Brownsell and Mark S Hawley, Predicting need for intervention in individuals with congestive heart failure using a home-based telecare system, J Telemed Telecare 2009;15:226-231 , doi:10.1258/jtt.2009.081203 497. Sven S. Groth, Jan Muntermann, "Discovering Intraday Market Risk Exposures in Unstructured Data Sources: The Case of Corporate Disclosures," hicss, pp.1-10, 2010 43rd Hawaii International Conference on System Sciences, 2010 498. Philippe du Jardin, Predicting bankruptcy using neural networks and other classification methods: the influence of variable selection techniques on model accuracy, Neurocomputing, accepted for publication. 499. B. Yıldız and B. Ergenç (Turkey), Comparison of Two Association Rule Mining Algorithms without Candidate Generation, Proceedings of the 10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010 , pp. 450-457. 500. Allan Mørk Christensen, Martin Midtgaard, Jeppe Ravn Christiansen, Lars Vinther, Reinforcement Learning in RTS Games, Machine Intelligence, Aalborg University: Software Engineering, SW9, Fall 2009

501. M. Hogo, Evaluation of E-Learners Behaviour using Different Fuzzy Clustering Models: A Comparative Study, International journal of Computer Science and Information Security, Vol. 7(2), 2010. 502. Urszula Markowska-Kaczmar, Halina Kwasnicka, Mariusz Paradowski, Intelligent Techniques in Personalization of Learning in e-Learning Systems. Computational Intelligence for Technology Enhanced Learning, pp. 1-23, 2010 503. Λούφη Μαρία-Εριάλντα, ∆ΥΝΑΜΙΚΟΙ ∆ΙΑΛΟΓΟΙ ΣΥΣΤΗΜΑΤΩΝ ΣΥΣΤΑΣΕΩΝ: ΕΦΑΡΜΟΓΗ ΣΤΗΝ ΗΛΕΚΤΡΟΝΙΚΗ ∆ΙΑΚΥΒΕΡΝΗΣΗ, ∆ΙΠΛΩΜΑΤΙΚΗ ΕΡΓΑΣΙΑ, ∆ΙΑΤΜΗΜΑΤΙΚΟ ΠΡΟΓΡΑΜΜΑ ΜΕΤΑΠΤΥΧΙΑΚΩΝ ΣΠΟΥ∆ΩΝ ΣΤΑ ΠΛΗΡΟΦΟΡΙΑΚΑ ΣΥΣΤΗΜΑΤΑ (M.I.S.), Θεσσαλονίκη, Ιανουάριος 2010. 504. Yen-Chung, Lai, Develop A Yield Enhancement Framework based on Main Branch Decision Tree Algorithm for Mining Semiconductor Data – An Empirical Study of A DRAM Fab, Thesis, GH000923804, 2005 505. MATOS, P. F.; LOMBARDI, L. O.; CIFERRI, R. R.; PARDO, T. A. S.; CIFERRI, C. D. A.; VIEIRA, M. T. P. Relatório Técnico "Conceitos sobre Aprendizado de Máquina". São Carlos: Universidade Federal de São Carlos, 2009, p. 23. 506. Zuccaro, Cataldo, Classification and prediction in customer scoring, Journal of Modelling in Management, Volume 5, Number 1, 2010 , pp. 38-53(16) 507. Hao H Zhang, Robert R Meyer, Leyuan Shi, Warren D D'Souza, The minimum knowledge base for predicting organ-at-risk dose–volume levels and plan-related complications in IMRT planning, Physics in Medicine and Biology, 55 (7), p.1935-1947, Apr 2010 508. Anupriya Rajkumar, Dr.A.Chitra, Paraphrase Recognition using Neural Network Classification, 2010 International Journal of Computer Applications (0975 - 8887), Volume 1 – No. 29 509. Sibil, A., Godin, N., Mili M., Fantozzi G., Optimasation de la segmentation de donnees d’ emission accoustic a l’ aide d’ un algorithme genetique, 10eme Congres Francais d’ Accoustic, Lyon, Avril 12-16 2010. 510. Mofreh A. Hogo, Evaluation of E-Learning Systems based on Fuzzy Clustering Models and Statistical Tools, Expert Systems with Applications, 37, 10, (Oct. 2010), 6891-6903. 511. David R. Pontin, Factors influencing the occurrence of stinging jellyfish (Physalia spp.) at New Zealand beaches, Doctor of Philosophy at Lincoln University, 2009 512. V.Umarani, Dr.M.Punithavalli, Sampling based Association Rules Mining- A Recent Overview, (IJCSE) International Journal on Computer Science and Engineering, Vol. 02, No. 02, 2010, 314-318 513. David R. Pontin, Factors influencing the occurrence of stinging jellyfish (Physalia spp.) at New Zealand beaches, Doctor of Philosophy at Lincoln University, 2009 514. Khine Khine Zin, Hidden Markov model with rule based approach for part of speech tagging of Myanmar language, December 2009 CIT'09: Proceedings of the 3rd International Conference on Communications and information technology 515. Βήττας Ιωάννης, Κατασκευή συστήµατος αναγνώρισης κακόβουλων χρηστών στο διαδίκτυο, ∆ιπλωµατική εργασία, Τµήµα Ηλεκτολόγων Μηχανικών, Πανεπιστήµιο Πατρών, 2009.

516. Jan Carlo Barca, New Multicolour Illuminated Contour-based Markers and their use in Motion Capture, Doctor of Philosophy in the Berwick School of Information Technology, Monash University, 2010. 517. Βασίλειος Λ. Γεωργίου, Στατιστική και Υπολογιστική Νοηµοσύνη, Dιδακτορική Dιατριβή, Πανεπιστήµιο Πατρών, Dιατµηµατικό Πρόγραµµα Μεταπτυχιακών Σπουδών, «Μαθηµατικά των Υπολογιστών και των Αποφάσεων», Νοέµβριος 2008. 518. Ms. G. Nathiya, Mrs. S. C. Punitha, Dr. M. Punithavalli, An Analytical Study on Behavior of Clusters Using K Means, EM and K* Means Algorithm, (IJCSIS) International Journal of Computer Science and Information Security, Vol. 7, No. 3, March 2010 519. Amelia Zafra Gomez, Modelos de programacion genetica gramatical para aprendizaje con multiples instancias, PhD thesis, University of Granada, 2009. 520. Rakhi Garg P. K. Mishra, Parallel Association Rule Mining on Heterogeneous System, International Journal of Computer Applications, Number 14 - Article 17, 2010 521. Shuo Wang, Class Imbalance Learning, RSMG Progress Report 4 academic year 2008/2009, University of Birmingham, School of Computer Science 522. Amna Ali, Umer Khan, Ali Tufail, Minkoo Kim, "Analyzing Potential of SVM Based Classifiers for Intelligent and Less Invasive Breast Cancer Prognosis," pp. 313-319, 2010 Second International Conference on Computer Engineering and Applications, 2010. 523. Omary, Z., Mtenzi, F., Dataset threshold for the performance estimators in supervised machine learning experiments, 2009 International Conference for Internet Technology and Secured Transactions, ICITST 2009 , art. no. 5402500 524. Kurt Weissgerber, Developing an Effective and Efficient Real Time Strategy Agent for Use as a Computer Generated Force, THESIS, DEPARTMENT OF THE AIR FORCE, AIR UNIVERSITY 525. Mansouri, Rahman; Saraee, Mohamad; Amirfattahi, Rasoul; Application of Data Mining in Predicting Cell Phones Subscribers Behavior Employing the Contact Pattern, 2010 International Conference on Data Storage and Data Engineering (DSDE), Page(s): 63 - 68. 526. TIANYI WU, A FRAMEWORK FOR PROMOTION ANALYSIS IN MULTI-DIMENSIONAL SPACE, Doctor of Philosophy in Computer Science in the Graduate College of the University of Illinois at Urbana-Champaign, 2010 527. Gonçalo Jorge Morais da Costa, Nuno Sotero Alves Silva and Piotr Pawlak, Network tourism: a fallacy of location privacy!, ETHICOMP-2010. 528. Philippe du Jardin, PRÉVISION DE LA DÉFAILLANCE ET RÉSEAUX DE NEURONES :L’APPORT DES MÉTHODES NUMÉRIQUES DE SÉLECTION DE VARIABLES, UNIVERSITÉ DE NICE – SOPHIA-ANTIPOLIS, Thèse Pour l’obtention du titre de Docteur en Sciences de Gestion 529. Sergio Valero Orea, APLICACIÓN DE TÉCNICAS DE MINERÍA DE DATOS PARA PREDECIR DESERCIÓN, Universidad Tecnológica de Izúcar de Matamoros 530. Zin, K.K., Thein, N.L., Part of speech tagging for Myanmar using hidden Markov model, Proceedings of the 2009 International Conference on the Current Trends in Information Technology, CTIT 2009 , art. no. 5423133, pp. 103-108

531. Zhu, X., Wang, J., Yan, H., Wu, S., Research and application of the improved algorithm C4.5 on decision tree, 2009 Proceedings of the International Symposium on Test and Measurement 2, art. no. 5413078, pp. 184-187 532. Yang, Xia; Dong, Hongbin; Zhang, Haiyu; Naive Bayes Based on Estimation of Distribution Algorithms for Classification, 2009 1st International Conference on Information Science and Engineering (ICISE), pp.908-911, 26-28 Dec. 2009 533. Mahmoud, E.-S.; Calvert, D.; , "Auto-calibration of Support Vector Machines for detecting disease outbreaks," ), 2009 IEEE Toronto International Conference Science and Technology for Humanity (TIC-STH) pp.112-117, 26-27 Sept. 2009 534. Wang, Suozhu; Xu, Chunjie; Sun, Minghui; , "Research on the System Model of Government Knowledge Management Based on Multi-Agent," 2009 1st International Conference on Information Science and Engineering (ICISE), , pp.3048-3051, 26-28 Dec. 2009. 535. Baumgartner, Dustin; Serpen, Gursel; Fast Preliminary Evaluation of New Machine Learning Algorithms for Feasibility, 2010 Second International Conference on Machine Learning and Computing (ICMLC), Publication Year: 2010 , Page(s): 113 – 115 536. Jayalskshmi, T.; Santhakumaran, A.; Impact of Preprocessing for Diagnosis of Diabetes Mellitus Using Artificial Neural Networks, 2010 Second International Conference on Machine Learning and Computing (ICMLC), Publication Year: 2010 , Page(s): 109 – 112 537. Cory McKay, Automatic Music Classification with jMIR, PhD thesis, Music Technology Area, Department of Music Research, Schulich School of Music, McGill University, Montreal, January 2010 538. Qinglei Zhang, Gongzhu Hu, Wenying Feng, Design and Performance Evaluation of a Machine Learning-Based Method for Intrusion Detection, Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2010, Page - 69 – 83. 539. Si Chen, Gongde Guo, Lifei Chen, "A New Over-Sampling Method Based on Cluster Ensembles," waina, pp.599-604, 2010 IEEE 24th International Conference on Advanced Information Networking and Applications, 2010 540. Si Chen, Gongde Guo, Lifei Chen, "A New Over-Sampling Method Based on Cluster Ensembles," waina, pp.599-604, 2010 IEEE 24th International Conference on Advanced Information Networking and Applications, 2010 541. Kuusela, M., Lämsä, J.W., Malmi, E., Mehtälä, P., Orava, R., Multivariate techniques for identifying diffractive interactions at the LHC, 2010 International Journal of Modern Physics A 25 (8), pp. 1615-1647 542. YIN Jian-Jan WANG, Le. Parallel k-means optimised by vertical dataset division. Computer Engineering and Applications, 2010, 46(15): 127-131. 543. Garcia-Moral, A. I.; Solera-Urena, R.; Pelaez-Moreno, C.; Diaz-de-Maria, F.; , "Data Balancing for Efficient Training of Hybrid ANN/HMM Automatic Speech Recognition Systems," IEEE Transactions on Audio, Speech, and Language Processing, , no.99, doi: 10.1109/TASL.2010.2050513 544. Al-Aidaroos, Khadija Mohammad; Bakar, Azuraliza Abu; Othman, Zalinda; Naïve bayes variants in classification learning, International Conference on Information Retrieval & Knowledge Management, (CAMP), 2010, Publication Year: 2010 , Page(s): 276 – 281

545. Ahmad Taherkhani, Recognizing Sorting Algorithms with the C4.5 Decision Tree Classifier, 18th IEEE International Conference on Program Comprehension, 2010, pp. 72- 75. 546. Zhen Xionga; Yun Zhanga, A critical review of image registration methods, International Journal of Image and Data Fusion, Volume 1, Issue 2 June 2010 , pages 137 – 158 547. Zlatko J. Kovačić, Early Prediction of Student Success: Mining Students Enrolment Data, Proceedings of Informing Science & IT Education Conference (InSITE) 2010 548. H.Zareipour, A. Janjani, H. Leung, A. Motamedi, A. Schellenberg, "Classification of Future Electricity Market Prices", IEEE Transactions on Power Systems, 2010, to appear. 549. S.L. Ting, W.M. Wang, S.K. Kwok, Albert H.C. Tsang, W.B. Lee, RACER: Rule-Associated CasE-based Reasoning for Supporting General Practitioners in Prescription Making, Expert Systems with Applications, In Press, Accepted Manuscript, Available online 2 June 2010 550. Jerome Malitz, Seth Malitz, Addendum to: An Approach to Hierarchical Clustering via Level Surfaces and Convexity, Intelligent Information Management, 2010, 2, 299-305 551. Yunjiao Xue, Hamada H. Ghenniwa, Weiming Shen, Instance-based Domain Ontological View Creation towards Semantic Integration, Expert Systems with Applications, In Press, Accepted Manuscript, Available online 1 June 2010 552. S.A.Sahaaya Arul Mary and M.Malarvizhi, Improving Web Navigation Technique usingWeighted Order Representation, International Journal of Research and Reviews in Computer Science (IJRRCS), Vol. 1, No. 2, June 2010 553. Pradeep Chouksey, Juhi Singh, R.S. Thakur, R.C. Jain, Frequent Pattern Mining using Candidate Generation approach with Single Scan of Database, Symposium on Progress in Information & Communication Technology 2009, pp. 46-51. 554. T. Ryan Hoens and Nitesh V. Chawla, Generating Diverse Ensembles to Counter the Problem of Class Imbalance, M.J. Zaki et al. (Eds.): PAKDD 2010, Part II, LNAI 6119, pp. 488–499, 2010. 555. Nichnan Kittiphattanabawon, Thanaruk Theeramunkong, Ekawit Nantajeewarawat, Exploration of Document Relation Quality with Consideration of Term Representation Basis, Term Weighting and Association Measure, Intelligence and Security Informatics, pp. 126-139, 2010. 556. Mohammad Hassan Falakmasir, Jafar Habibi, Using Educational Data Mining Methods to Study the Impact of Virtual Classroom in E-Learning, EDM2010, The Third International Conference on Educational Data Mining 557. Cristobal Romero, Jose Raul Romero, Jose Maria Luna and Sebastián Ventura, Mining Rare Association Rules from e-Learning Data, EDM2010, The Third International Conference on Educational Data Mining, pp. 171-180 558. Eder Daniel Corvalão, Classificação de Contribuintes: um modelo em duas fases, TESE DE DOUTORADO, UNIVERSIDADE FEDERAL DE SANTA CATARINA DEPARTAMENTO DE ENGENHARIA DE PRODUÇÃO E SISTEMAS PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA DE PRODUÇÃO, Florianópolis, Setembro de 2009. 559. Andrew French, Target recognition techniques for multifunction phased array radar, Doctor of Philosophy of the University College London, January 2010

560. Thangamani.M, Ontology Based Fuzzy Document Clustering Scheme, Modern Applied Science Vol. 4, No. 7; July 2010, pp. 148-156. 561. N.C.Mahanti Kanhaiya Lal., Mining Association Rules in Large Database by Implementing Pipelining Technique in Partition Algorithm. International Journal of Computer Applications 2(4):33–39, June 2010. Published By Foundation of Computer Science 562. Safaa M. Bedawi and Mohamed S. Kamel, Segmentation of Very High Resolution Remote Sensing Imagery of Urban Areas Using Particle Swarm Optimization Algorithm, Lecture Notes in Computer Science, Volume 6111/2010, 81-88. 563. Cristobal Romero, Pedro G. Espejo, Amelia Zafra, Jose Raul Romero, Sebastian Ventura, Web usage mining for predicting final marks of students that use Moodle courses, Computer Applications in Engineering Education, 2010 564. Aabid Shariff, Joshua Kangas, Luis Pedro Coelho, Shannon Quinn, and Robert F. Murphy, Automated Image Analysis for High-Content Screening and Analysis, Journal of Biomolecular Screening 15 (7), pp. 726-734. 565. Ahmad Taherkhani, Ari Korhonen, Lauri Malmi, Recognizing Algorithms Using Language Constructs, Software Metrics and Roles of Variables: An Experiment with Sorting Algorithms, The Computer Journal ,Advance Access published May 31, 2010 566. Danuta Zakrzewska, Building Group Recommendations in E-Learning Systems, Lecture Notes in Computer Science, Volume 6070/2010, 391-400 567. Sergios Theodoridis, Konstantinos Koutroumbas, Pattern recognition, Academic Press, 2009. 568. S.I. Pshenichny, BUILDING BAYESIAN NET FOR BANK’S RELIABILITY ESTIMATION, Postgraduate student, TR Finance academy under the Government of the Russian Federation. 569. Kiruthika, A Review of Supervised and Unsupervised Learning Techniques of Artificial Neural Network from Statistical Perspective, International Journal of Statistics and Systems Year : 2010, Volume : 5, Issue : 2, Print ISSN : 0973-2675. 570. Augusto, D. A., Barbosa, H. J., and Ebecken, N. F. 2010. Coevolutionary multi-population genetic programming for data classification. In Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation (Portland, Oregon, USA, July 07 - 11, 2010). GECCO '10. ACM, New York, pp. 933-940 571. Kaipa, Bhargavi; Robila, Stefan A.;, Statistical steganalyis of images using open source software, Applications and Technology Conference (LISAT), 2010 Long Island Systems, Digital Object Identifier: 10.1109/LISAT.2010.5478333, Publication Year: 2010 , Page(s): 1 – 5 572. Umarani, V.; Punithavalli, M.; On developing an effectual progressive sampling-based approach for association rule discovery, The 2nd IEEE International Conference on Information Management and Engineering (ICIME), 2010, Publication Year: 2010 , Page(s): 8 – 12 573. Tucker, C.S., Hoyle, C., Kim, H.M., Chen, W., A comparative study of data-intensive demand modeling techniques in relation to product design and development, Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 2009, DETC2009 5 (PART A), pp. 371-383 574. S. Santhosh Baboo, I. Kadar Shereef, Applicability of Data MiningTechniques for Climate Prediction – A Survey Approach , (IJCSIS) International Journal of Computer Science and Information Security, Vol. 8, No. 1, April 2010

575. T.Deepa ,Dr.M.Punithavalli, An Analysis for Mining Imbalanced Datasets, (IJCSIS) International Journal of Computer Science and Information Security, Vol. 8, No. 1, April 2010. 576. Asrul Adam,Ibrahim Shapiai,Zuwairie Ibrahim,and Marzuki Khalid, Lim Chun Chewand Lee Wen Jau, Junzo Watada, 2010 Second International Conference on Computational Intelligence, Communication Systems and Networks, pp. 44-48. 577. Amelia Zafra and Sebastián Ventura, Web Usage Mining for Improving StudentsPerformance in Learning Management Systems, IEA/AIE 2010, Part III, LNAI 6098, pp. 439–449, 2010. 578. P. Rajendran and M. Madheswaran, An Improved Brain Image Classification Technique with Mining and Shape Prior Segmentation Procedure, Journal of Medical Systems, DOI 10.1007/s10916-010-9542-8 579. Zhenhua Zhu, Ioannis Brilakis, Parameter optimization for automated concrete detection in image data, Automation in Construction, 19 (7), pp. 944-953 580. Raúl Martín-Félez and Ramón A. Mollineda, On the Suitability of Combining Feature Selection and Resampling to Manage Data Complexity, Lecture Notes in Computer Science, Volume 5988/2010, 141-150. 581. Olanrewaju Jelili Oyelade, Oladipupo, Olufunke Oyejoke, Knowledge Discovery from Students’ Result Repository: Association Rule Mining Approach, International Journal of Computer Science and Security (IJCSS), 199 – 207. 582. Veenu Mangat, Swarm Intelligence Based Technique for Rule Mining in the Medical Domain, International Journal of Computer Applications (0975 – 8887), Volume 4 – No.1, July 2010 583. DONG CaiLing, YIN YiLong & YANG XiuKun, Detecting malignant patients via modified boosted tree, SCIENCE CHINA, Information Sciences, July 2010 Vol. 53 No. 7: 1369–1378 584. Sneha Soni, IMPLEMENTATION OF MULTIVARIATE DATA SET BY CART ALGORITHM, International Journal of Information Technology and Knowledge Management, July-December 2010, Volume 2, No. 2, pp. 455-459 585. Ю.А. Грипич, Анализ состояния растительности и оценка рисков развития сельскохозяйственных культур на основе статистической теории обучения, Наукові праці ДонНТУ, Серія "Інформатика, кібернетика та обчислювальна техніка" випуск 11(164), 2010 586. J.E.J.M Odijk, Definition extraction for glossary creation: A study on extracting definitions for semi-automatic glossary creation in Dutch, Published by LOT, ISBN 978-94-6093-034-8 587. G. Chaabane, La prévision de la détresse financière : Horizon prévisionnel, Thesis, University de Tunis, 2010 588. Vicente García Jiménez, Distribuciones de Clases No Balanceadas: Métricas, Análisis de Complejidad y Algoritmos de Aprendizaje, TESIS DOCTORAL, Departament de Llenguatges i Sistemes Informàtics Universitat Jaume I, 2010. 589. Luca Parodi, Modellizzazione e predizione di interazioni tra soggetti non cooperanti tramite Hidden Markov Model per applicazioni di sorveglianza intelligente, TESI DI LAUREA, Universit a degli Studi di Genova, Facolt a di Ingegneria, 2008. 590. Erfassung, Verwaltung und Validierung, Lebenszyklusinformationen von Wissensdokumenten, Elektrotechnik und Informationstechnik der Technischen Universität Darmstadt, 2010.

591. Jafar Razmara, Safaai B. Deris, A Novel Text Modeling Approach for Structural Comparison and Alignment of Biomolecules, WSEAS TRANSACTIONS on COMPUTERS, Issue 7, Volume 9, July 2010, 675-685. 592. Ana Paula Appel, Métodos para o pré-processamento e mineração de grandes volumes de dados multidimensionais e redes complexas, Universidade de São Paulo, USP, Brasil. Ano de Obtenção: 2010. 593. Juan Luis Olmo , José María Luna , José Raúl Romero and Sebastián Ventura, An Automatic Programming ACO-Based Algorithm for Classification Rule Mining, Advances in Soft Computing, Volume 71/2010, 649-656 594. Isabelle Bichindaritz and Amalia Annest, Case Based Reasoning with Bayesian Model Averaging: An Improved Method for Survival Analysis on Microarray Data, Lecture Notes in Computer Science, Volume 6176/2010, 346-359 595. Akin Ozcift and Arif Gulten, A Robust Multi-Class Feature Selection Strategy Based on Rotation Forest Ensemble Algorithm for Diagnosis of Erythemato-Squamous Diseases, Journal of Medical Systems, Springer Netherlands 596. Tung-lin Yu, Two-phase Classification Approach for Identifying News Category, Master's Thesis, Department of Information Management, China, 2009. 597. Cristóbal Romero, Sebastián Ventura, Educational Data Mining: A Review of the State-of-the-Art, Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews 598. Cristóbal Romero, Sebastián Ventura, Educational Data Mining: A Review of the State-of-the-Art, Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews 599. Zhang, Wen; Liu, Juan; Niu, Yanqing; Qingjiao Li; Zijing Hui; Predicting cleavage sites in exogenous antigen using weighted SVM, 2nd International Computer Conference on Engineering and Technology (ICCET), 2010, Volume: 1, Page(s): 478 – 482. 600. Patriarcheas, Kiriakos; Xenos, Michalis; Educational Techniques Comparative Study by Using Combined Environment via Computer and Mobile Devices in Asynchronous Discussion Forum, 2010 Ninth International Conference on Mobile Business and 2010 Ninth Global Mobility Roundtable (ICMB-GMR), Page(s): 297 – 304. 601. B.Santhosh Kumar, K.V.Rukmani, Implementation of Web Usage Mining Using APRIORI and FP Growth Algorithms, Int. J. of Advanced Networking and Applications 400, Volume:01, Issue:06, Pages: 400-404 (2010) 602. W.K. Wong, Z.X. Guo, A hybrid intelligent model for medium-term sales forecasting in fashion retail supply chains using extreme learning machine and harmony search algorithm, International Journal of Production Economics, 128 (2), pp. 614-624 603. Shaikh, R.A., Adi, K., Logrippo, L., Mankovski, S. Inconsistency Detection Method for Access Control Policies. IEEE sixth International Conference on Information Assurance and Security (IAS 2010), Atlanta, Aug. 2010. 604. Andrea Mariani, Andrea Giorgetti, Marco Chiani, Sithamparanathan Kandeepan, Christian Kocks, Ernest Scheiber, Alexander Vießmann, Shangbo Wang, Dong Xu, Guido Bruck, Andreas Waadt, Peter Jung, Dalia Aisenberg, Gadi Shor, Amir Krause, Integrated Project – EUWB, Contract No 215669, Deliverable D2.2.3, Interference Classification 605. Thilo Stadelmann, Voice Modeling Methods for Automatic Speaker Recognition, Phd Thesis, 2010, Philipps-University Marburg

606. James D. Hurd, Daniel L. Civco, Creating An Image Dataset To Meet Your Classification Needs: A Proof-Of-Concept Study, ASPRS 2009 Annual Conference, Baltimore, Maryland Š March 9 - 13, 2009 607. Francisco Cantu, Sebastian M. Saiegh, A Supervised Machine Learning Procedure to Detect Electoral Fraud using Digital Analysis, TR, MIT. 608. A. Addis, G. Armano and E. Vargiu Using the Progressive Filtering Approach to Deal with Input Imbalance in Large-Scale Taxonomies, Large-Scale Hierarchical Classification Workshop, March 28, 2010, The Open University in Milton Keynes, UK. 609. A. Addis, G. Armano and E. Vargiu Using the Progressive Filtering Approach to Deal with Input Imbalance in Large-Scale Taxonomies, Large-Scale Hierarchical Classification Workshop, March 28, 2010, The Open University in Milton Keynes, UK. 610. Anuar, Nor Badrul and Furnell, S.M. and Papadaki, M. and Clarke, N.L (2009) Response Mechanisms for Intrusion Response Systems (IRSs). In: Research Symposium on Security E-Learning Internet and Networking, 25-29 November 2009, University of Applied Sciences Darmstadt, Germany. 611. G.Apparao, Dr.Prof Arun Singh, G.S.Rao, B.Lalitha Bhavani, K.Eswar, D.Rajani, Financial Statement Fraud Detection by Data Mining, Int. J. of Advanced Networking and Applications, Volume: 01 Issue: 03 Pages: 159-163 (2009) 612. Hamed Zojaji, Mohammad Alishahi, Mohammad Alishahi, Bahark Shakeri Aski, Hosein DeldariAn Algorithm to Find Correspondence Clusters in Different Clusterings for Using in Consensus Clustering, Amir Kabir University, IDMC2008 , 11-12 NOV 613. Mansoor Raza, Detection And Extraction Of Features From High Resolution Images Using Manual And Object-Oriented Image Analysis Techniques, Master of Science in Geographic Information Science, IDAHO STATE UNIVERSITY, Nov 2009 614. Mansoor Raza, Detection And Extraction Of Features From High Resolution Images Using Manual And Object-Oriented Image Analysis Techniques, Master of Science in Geographic Information Science, IDAHO STATE UNIVERSITY, Nov 2009 615. ZHANG Fu．xin, Du yu-yue, Improved algorithm of generation for smallest cut sets and safety testing of interlocking system model, APPLICATION RESEARCH OF COMPUTERS, 2009 26(8). 616. Cláudia Almeida, Ana Maria Ferreira, Carlos Costa, APLICAÇÃO DE UM MODELO CONCEPTUAL PARA O ESTUDO DE UM NOVO PRODUTO TURÍSTICO ESTRATÉGICO. O CASO DO TURISMO RESIDENCIAL, III CONGRESSO INTERNACIONAL DE TURISMO DE LEIRIA E OESTE – 2009. 617. J.P.Redonnet, Advanced Text Lexical Analysis Software, Nov 26,2008 618. A. Addis, G. Armano, and E. Vargiu, A Progressive Filtering Approach to Hierarchical Text Categorization, Communications of SIWN, 5(August 2008):28-32, 2008. 619. Widodo, Prediksi Mata Kuliah Pilihan dengan Aturan Asosiasi , e-Indonesia Initiative 2008 (eII2008) , Konferensi dan Temu Nasional Teknologi Informasi dan Komunikasi untuk Indonesia, 21-23 Mei 2008, Jakarta 620. Chrysanthos Kattimeris, Data Mining: Mining Association Rules, University of Manchester for the degree of Master of Science, 2009. 621. Boscarioli, Clodis, Análise de agrupamentos baseada na topologia dos dados e em mapas auto-organizáveis. Escola Politécnica (EP)

622. Hamidreza Zareipour, Arya Janjani, Henry Leung, Amir Motamedi, Antony Schellenberg, Classification of Future Electricity Market Prices, IEEE TPS 2010. 623. Danuta ZAKRZEWSKA, ZASTOSOWANIE TECHNIK EKSPLORACJI DANYCH DO BUDOWANIA GRUP STUDENCKICH, STUDIA INFORMATICA 2010, Volume 31 Number 2B (90) 624. Dário Alves da Silva Costa, Gabriel Nogueira de Almeida, Geraldo das Dores Gonçalves, Michelle Cristiane Silva, Renzo Joel Flores Ortiz, ANÁLISE FATORIAL CONFIRMATÓRIA ANÁLISE DE AGRUPAMENTO: FUZZY C-MODA, UNIVERSIDADE FEDERAL DE MINAS GERAIS, INSTITUTO DE CIENCIAS EXATAS, DEPARTAMENTO DE ESTATÍSTICA 625. Zhang Hailei, Prediction Of Novel Biochemical Class, Disease Related Proteins And Micrornas By Machine Learning Approach, Department Of Pharmacy, Msc, National University Of Singapore, 2008. 626. Tomas Hudik, Learning Algorithms In Processing Of Various Difficult Medical And Environmental Data, Ph.D. Thesis, Faculty of Informatics, Masaryk University, January, 2009 627. Xavier Sevillano Domínguez, Hierarchical self-refining consensus architectures and soft consensus functions for robust multimedia clustering, Comunicacions i Teoria del Senyal, Enginyeria i Arquitectura La Salle 628. Daniel Hern´andez-Lobato, Prediction Based on Averages over Automatically Induced Learners: Ensemble Methods and Bayesian Techniques, Doctor of Philosophy, UNIVERSIDAD AUTONOMA DE MADRID, 2009. 629. Rao Raghuraj, Data Based System Design And Network Analysis Tools For Chemical And Biological Processes, Doctor Of Philosophy, Department Of Chemical And Biomolecular Engineering, National University Of Singapore, 2008 630. Aleksandra Kovacevic, Peer-to-Peer Location-based Search: Engineering a Novel Peer-to-Peer Overlay Network, PhD, Elektrotechnik und Informationstechnik der Technischen Universität Darmstadt von 631. Tim Schlüter and Stefan Conrad, TARGEN: A MARKET BASKET DATASET GENERATOR FOR TEMPORAL ASSOCIATION RULE MINING, IADIS European Conference Data Mining 2009, ISBN: 978-972-8924-88-1 632. GuangCai Zhang , AiGuo Xu, Guo Lu and ZeYao Mo, Cluster identification and characterization of physical fields, SCIENCE CHINA Physics, Mechanics & Astronomy, 53 (9), pp. 1610-1618. 633. By Jiang Li , Ayyappa Vadlamudi , Shao-Hui Chuang , Xiaoyan Sun , Bo Sun , Frederic D. McKenzie , Lisa Cazares , Julius Nyalwidhe , Dean Troyer , O. John Semmes, Combining Prostate Cancer Region Predictions from MALDI Spectra Processing and Texture Analysis, 2010 IEEE International Conference on Bioinformatics and Bioengineering , Issue Date:May 2010, pp. 73-78 634. Hadjidoukas, P.E., Amsaleg, L., Nested OpenMP parallelization of a hierarchical data clustering algorithm, 2010 Parallel Processing Letters 20 (2), pp. 187-208 635. Badjio, E.F., Poulet, F. , Theory of consensus applied to the pretreatment of the sets of data | [Théorie du consensus appliquée au prétraitement des ensembles de données], 2008 Revue d'Intelligence Artificielle 22 (3-4), pp. 383-400 636. K. Rajendra Prasad, B. Bhaskara Rao, M. Surya Bhupal Rao, and S.C.V. Ramana Rao, An Efficient Analytical Results From Large databases, Proceedings of the Int. Conf. on Information Science and Applications ICISA 2010, 6 February 2010, Chennai, India, 301-304.

637. Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer and W. Philip Kegelmeyer, Detecting and ordering salient regions, Data Mining and Knowledge Discovery 22 (1-2), pp. 259-290. 638. Rajashree Dash, Rasmita Dash, Debahuti Mishra, A Hybridized Rough-PCA Approach of Attribute Reduction for High Dimensional Data Set, European Journal of Scientific Research ISSN 1450-216X Vol.44 No.1 (2010), pp.29-38 639. B.Aksoy, V.Labatut, M.Egi, T.Ozyigit, P.Denoble, C.Balestra, R.Vann & A.Marroni, Association rules of DCI patient clusters and reliability of clustering analysis, International Conference on Diving Hyperbaric Medicine Aberdeen, UK: European Underwater and Barometrical Society, 2009 640. Yan H, Venkatesan K, Beaver JE, Klitgord N, Yildirim MA, et al. 2010 A Genome-Wide Gene Function Prediction Resource for Drosophila melanogaster. PLoS ONE 5 (8), art. no. e12139, pp. 1-11 641. Yasemin Kilinç, Mining Association Rules For Quality Related Data In An Electronics Company, The Graduate School Of Natural And Applied Sciences Of Middle East Technical University, February 2009. 642. Khan, A., Jamjoom, H., Sun, J. , AIM-HI: A framework for request routing in large-scale IT global service delivery, 2009 IBM Journal of Research and Development 53 (6) 643. David Y. Chan, Miklos A. Vasarhelyi, Innovation and Practice of Continuous Auditing, International International Journal of Accounting Information Systems 12 (2), 2011, pp. 152-160 644. B. S. Harish, D. S. Guru, S. Manjunath, Representation and Classification of Text Documents: A Brief Review, IJCA Special Issue on “Recent Trends in Image Processing and Pattern Recognition” RTIPPR, 2010, pp. 110-119. 645. Fletcher H. Glancy, Surya B. Yadav, A computational model for financial reporting fraud detection, Decision Support Systems, In Press, Accepted Manuscript, Available online 18 August 2010 646. Rehman, Z. u., Sarwar, M. I., Aslam, M., and Shaheen, M. 2009. An intelligent assistant for mathematical production. In Proceedings of the 6th international Conference on Frontiers of information Technology (Abbottabad, Pakistan, December 16 - 18, 2009). FIT '09. ACM, New York, NY, 1-6. 647. E.W.T. Ngai, Yong Hu, Y.H. Wong, Yijun Chen, Xin Sun, The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature, Decision Support Systems, In Press, Accepted Manuscript, Available online 19 August 2010 648. Sean L. Humpherys, Kevin C. Moffitt, Mary B. Burns, Judee K. Burgoon, William F. Felix, Identification of fraudulent financial statements using linguistic credibility analysis, Decision Support Systems, In Press, Accepted Manuscript, Available online 19 August 2010 649. Sven S. Groth, Jan Muntermann, An intraday market risk management approach based on textual analysis, Decision Support Systems 50 (4), pp. 680-691 650. Zlatko J. Kovačić, John Steven Green, Predictive working tool for early identification of ‘at risk’ students, School of Information and Social Sciences, TR, Open Polytechnic, Private Bag 31914, Lower Hutt, New Zealand 651. Eduardo Ribas Pinto, Meta-aprendizado para análise de desempenho de métodos de classificação multi-label, Thesis, portugués Universia. 652. Lopez-Meyer, P., Makeyev, O., Schuckers, S., Melanson, E.L., Neuman, M.R., Sazonov, E., Detection of food intake from swallowing sequences by

supervised and unsupervised methods, Annals of Biomedical Engineering 38 (8), 2010, pp. 2766-2774 653. Lopez-Meyer, P., Makeyev, O., Schuckers, S., Melanson, E.L., Neuman, M.R., Sazonov, E., Detection of food intake from swallowing sequences by supervised and unsupervised methods, Annals of Biomedical Engineering 38 (8), 2010, pp. 2766-2774 654. Constanta-Nicoleta Bodea, Maria Dascalu and Melania Coman, Quality of Project Management Education and Training Programmes, Technology Enhanced Learning. Quality of Teaching and Educational Reform, Communications in Computer and Information Science, 2010, Volume 73, 324-330 655. Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Byoung-Jun Park, Polynomial-based radial basis function neural networks (P-RBF NNS) realized with the aid of particle swarm optimization, Fuzzy Sets and Systems, Volume 163 Issue 1, January, 2011. 656. André L.V. Coelho, Diego S.C. Nascimento, On the evolutionary design of heterogeneous bagging models, Neurocomputing, 2010, 73 (16-18), pp. 3319-3322 657. M.A. Ali, M.I. Yousuf, Use of Intelligent Agents in Interactive Web Applications, Journal of Mathematics and Technology, ISSN: 2078-0257, No.3, August, 2010, pp. 86-94. 658. Debejyo Chakraborty, Time-Frequency Based Adaptive Learning for Structural Health Management, PhD, Arizona State University, August 2010. 659. Kye-Sung Kim, Seong-Bae Park, Hyun-Je Song, Se Young Park and Sang-Jo Lee, Identification of Non-referential Zero Pronouns for Korean-English Machine Translation, PRICAI 2010: Trends in Artificial Intelligence, Lecture Notes in Computer Science, 2010, Volume 6230/2010, 112-122. 660. Hemant Kumar Sharma, Graph Based Approaches Used in Association Rule Mining, Msc Thesis, Computer Science and Engineering Department, Thapar University, 2010. 661. Mehmet Saltan, Serdal Terzi, Ecir Uğur Küçüksille, Backcalculation of Pavement Layer Moduli and Poisson’s Ratio Using Data Mining, Expert Systems with Applications, In Press, Accepted Manuscript, Available online 31 August 2010 662. Swaraj Sinha, Sree Rama Chaitanya Sridhara, Sundaramoorthy Srinivasan, Ajit Muley, Syamantak Majumder, Maniselvan Kuppusamy, Ravi Gupta, Suvro Chatterjee, NO (nitric oxide): The ring master, European Journal of Cell Biology, In Press, Corrected Proof, Available online 30 August 2010 663. Yingxu Wang, Discoveries and Breakthroughs in Cognitive Informatics and Natural Intelligence, IGI Global snippet, 2010. 664. Xenia Naidenova, Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models, IGI Global snippet, 2010 665. J. Prabhu, M. Sudharshan, M. Saravanan, G. Prasad, "Augmenting Rapid Clustering Method for Social Network Analysis," International Conference on Advances in Social Network Analysis and Mining, pp. 407-408. 666. Beatrice Lazzerini , Sara Lioba Volpi, Noise Assessment in the Diagnosis of Rolling Element Bearings, 2010 International Conference on Intelligent Computing and Cognitive Informatics, June 2010, pp. 227-230 667. Matthias Rupp, Kernel Methods for Virtual Screening, PhD thesis, ohann Wolfgang Goethe-University, Frankfurt am Main, Germany, 2009. 668. Dong Ling Tong, Genetic Algorithm-Neural Network: Feature Extraction For Bioinformatics Data, Bournemouth University for the degree of Doctor of Philosophy, July 2010

669. Dong Ling Tong, Genetic Algorithm-Neural Network: Feature Extraction For Bioinformatics Data, Bournemouth University for the degree of Doctor of Philosophy, July 2010 670. Praveen Kumar, G.; Sarkar, Anirban; Ilhyun Lee; Haesun Lee; Debnath, Narayan C; , "A novel approach for hierarchical clustering in non -binary search space," 8th IEEE International Conference on Industrial Informatics (INDIN), pp.693-697, 13-16 July 2010 671. Yanqing Lui; Jianmin Gao; Zhiyong Gao; Yingsheng Ji; , "Study of abnormal events relevance in process industry based on sequences pattern mining,", 8th World Congress on Intelligent Control and Automation (WCICA) pp.5692-5697, 7-9 July 2010 672. Chen, S.; He, H.; Garcia, E. A.; , "RAMOBoost: Ranked Minority Oversampling in Boosting," IEEE Transactions on Neural Networks, Volume: 21 , Issue: 10, Page(s): 1624 - 1642 673. Alvarez, I., Martin, S., Mesmoudi, S. Describing the result of a classifier to the end-user: Geometric-based sensitivity, 2010 Frontiers in Artificial Intelligence and Applications 215, pp. 835-840 674. Elaine Nsoesie, Methods for categorizing disease outbreaks based on partial epidemic curves, PhD candidate in GBCB, Virginia Bioinformatics Institute, 2010. 675. Purda, Lynnette D. and Skillicorn, David, Reading between the Lines: Detecting Fraud from the Language of Financial Reports (September 1, 2010). Available at SSRN: http://ssrn.com/abstract=1670832 676. Huu-Giao Nguyen, Ronan Fablet and Jean-Marc Boucher, Spatial Statistics of Visual Keypoints for Texture Recognition, Lecture Notes in Computer Science, 2010, Volume 6314/2010, pp. 764-777. 677. Riwal Lefort, Ronan Fablet and Jean-Marc Boucher, Weakly Supervised Classification of Objects in Images Using Soft Random Forests, Lecture Notes in Computer Science, 2010, Volume 6314/2010, pp. 185-198. 678. Sara Colantonio, Suzanne Little, Ovidio Salvetti and Petra Perner, Prototype–Based Classification in Unbalanced Biomedical Problems, Studies in Computational Intelligence, 2010, Volume 305/2010, pp. 143-163. 679. John Pagonis, Adrian F. Clark, Engene: A genetic algorithm classifier for content-based recommender systems that does not require continuous user feedback; 10th UK Computational Intelligence Workshop, Essex, September 2010 680. M. Bill Wong, Plastic analysis and design of steel structures, Butterworth-Heinemann, 2009 - Technology & Engineering 681. Magda Osman, Controlling Uncertainty: Decision Making and Learning in Complex Worlds, John Wiley and Sons, 2010. 682. Leila Nemmiche-Alachaher, Contextual Approach to Data Discretization, 2010 Fifth International Multi-conference on Computing in the Global Information Technology, pp. 35-40. 683. Ipsita Bhattacharya, M.P.S Bhatia, SVM Classification to Distinguish Parkinson Disease Patients, Conference of Women in Computing in India, 2009. 684. Willie Ng and Manoranjan Dash, Discovery of Frequent Patterns in Transactional Data Streams, Lecture Notes in Computer Science, 2010, Volume 6380, Transactions on Large-Scale Data- and Knowledge-Centered Systems II, Pages 1-30 685. Myriam Bounhas, Khaled Mellouli, Henri Prade and Mathieu Serrurier, From Bayesian Classifiers to Possibilistic Classifiers for Numerical Data, Lecture Notes in Computer Science, 2010, Volume 6379, Scalable Uncertainty Management, Pages 112-125.

686. Andrea Addis, Giuliano Armano, Eloisa Vargiu, Using Progressive Filtering to Deal with Information Overload, 7th International Workshop on Text-based Information Retrieval (Workshop TIR '10 ), Page(s): 20 - 24 687. QURESHI Taimur, Contributions to Decision Tree Learning, Doctorat Nouveau Régime, Informatique et mathématiques, Université Lumière Lyon 2, 2010. 688. Jie Ji and Qiangfu Zhao, Applying Naive Bayes Classifier to Document Clustering, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.14, No.6 pp. 624-630, 2010. 689. Colantonio, S., Little, S., Salvetti, O., Perner, P., Prototype-based classification in unbalanced biomedical problems, 2010 Studies in Computational Intelligence 305, pp. 143-163. 690. Fernandes, P., Lopes, L., and Ruiz, D. D. 2010. The impact of random samples in ensemble classifiers. In Proceedings of the 2010 ACM Symposium on Applied Computing (Sierre, Switzerland, March 22 - 26, 2010). SAC '10. ACM, New York, NY, 1002-1009. 691. Christopher M. Gifford, Collective Machine Learning: Team Learning and Classification in Multi-Agent Systems, Computer Science and the Graduate Faculty of the University of Kansas, Doctor of Philosophy, 2009. 692. Christopher M. Gifford, and Arvin Agah, Collaborative multi-agent rock facies classification from wireline well log data, Engineering Applications of Artificial Intelligence, Volume 23, Issue 7, October 2010, Pages 1158-1172 693. Hamid Farvaresh, Mohammad Mehdi Sepehri, A data mining framework for detecting subscription fraud in telecommunication, Engineering Applications of Artificial Intelligence, In Press, Corrected Proof, Available online 19 June 2010 694. Wang Ya; Li Da-hua; Zhang Si-bing; Application of weighted distance in clustering of hydraulic press, 2010 2nd International Conference on Computer Engineering and Technology (ICCET), 16-18 April 2010, pp. 335-338. 695. Leonardo Ornella, Elizabeth Tapia, Supervised machine learning and heterotic classification of maize (Zea mays L.) using molecular marker data, Computers and Electronics in Agriculture, In Press, Corrected Proof, Available online 2 October 2010 696. Huifen Wang, Li Qiao and Tingting Liu, Cluster Analysis for Classifying Similar Shared Resources in Cooperative Design, Lecture Notes in Computer Science, 2010, Volume 6240, Cooperative Design, Visualization, and Engineering, Pages 140-144. 697. LI Ming-fang，ZHANG Hua-xiang，ZHANG Wen，JI Hua, Approach to optimize threshold of ANN on imbalance datasets, Computer Engineering and Applications, 2010 46 (20): 168-171. 698. GUO Qiao-jin,LI Li-bin,LI Ning, Novel modified AdaBoost algorithm for imbalanced data classification, Computer Engineering and Applications, 2008, 44(21): 217-221. 699. CHEN Mei-xia, GUO Gong-de, HUANG Jie, LIU Yong-fen, An Intrusion Detection Algorithm for Imbalanced Datasets, Journal of Fujian Normal University(Natural Science Edition), 2010-04. 700. Martin Abente, Javier Martinez, and Benjamin Barian, Evolucion de Reglas de Clasicacion Binaria utilizando Programacion Genetica Lineal: Una Aplicacion al Descarte de Ganado, XXXVI Conferencia Latinoamericana de Informática, CLEI’2010. Asunción – Paraguay. 701. Chris de Vries, Application of K-tree to document clustering, Masters of IT by research, 2010.

702. Ikmal Hisyam Mohamad Paris, Lilly Suriani Affendey, and Norwati Mustapha, Improving Academic Performance Prediction using Voting Technique in Data Mining, World Academy of Engineering and Technology 62 2010, 820-823. 703. Ikmal Hisyam Mohamad Paris, Lilly Suriani Affendey, and Norwati Mustapha, Improving Academic Performance Prediction using Voting Technique in Data Mining, World Academy of Engineering and Technology 62 2010, 820-823. 704. Vincent Lemaire, Data Mining: Exploration, Sélection, Compréhension, Thesis, Université de Paris Sud 705. Jarek Krajewski , Anton Batliner , Silke Kessel, Comparing Multiple Classifiers for Speech-Based Detection of Self-Confidence - A Pilot Study, 2010 20th International Conference on Pattern Recognition, pp. 3716-3719 706. Linying Su, User Behaviour Based Access Control Decision, 2010 International Conference on E-Business and E-Government, May 2010, pp. 1372-1376 707. Israel Gonzalez Carrasco, Analisis, Optimizacion y Evaluacion de Modelos de Redes de Neuronas Artificiales para la Clasificacion y Prediccion de Impactos de Alta Velocidad sobre Distintos Materiales, Tesis Doctoral Doctorado en Ciencia y Tecnologıa Informatica, Departamento de Informatica, Universidad Carlos III de Madrid 708. S. Santhosh Baboo, I. Kadar Shereef, Applicability of Data Mining Techniques for Climate Prediction – A Survey Approach, International Journal of Computer Science and Information Security, 8(1), 203-206 709. Ping-Feng Pai, Ming-Fu Hsu, Ming-Chieh Wang, A Support Vector Machine-Based Model for Detecting Top Management Fraud, Knowledge-Based Systems, In Press, Accepted Manuscript, Available online 13 October 2010 710. Halevi, T. and Saxena, N. 2010. On pairing constrained wireless devices based on secrecy of auxiliary channels: the case of acoustic eavesdropping. In Proceedings of the 17th ACM Conference on Computer and Communications Security (Chicago, Illinois, USA, October 04 - 08, 2010). CCS '10. ACM, New York. 711. Apoorv Agarwal, Owen Rambow, Automatic Detection and Classification of Social Events, Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pages 1024–1034, MIT, Massachusetts, USA, 9-11 October 2010. 712. O.A. Mohamed Jafar and R. Sivakumar, Ant-based Clustering Algorithms: A Brief Survey, International Journal of Computer Theory and Engineering, Vol. 2, No. 5, October, 2010, 1793-8201 713. Jim Thomas, Automated Damage Assessment From High Resolution Remote Sensing Imagery, Master of Science in Computer Science and Engineering, University of Notre Dame, 2010. 714. Caio Vinicius Soares, Improving Prediction Accuracy Using Class-specific Ensemble Feature Selection, Degree of Doctor of Philosophy, Auburn University, 2010 715. Marija Radovic, Reliability Estimation in Regression Supported with Meta-learning and Principal Component Analysis, University of Ljubljana, 2010. 716. Daniele Soria, Novel Methods to Elucidate Core Classes in Multi-Dimensional Biomedical Data, University of Nottingham, Doctor of Philosophy, 2010. 717. V.Umarani, M.Punithavalli, A Study On Effective Mining Of Association Rules From Huge Databases, IJCSR International Journal of Computer Science and Research, Vol. 1 Issue 1, 2010.

718. G. S. Larue, Predicting Effects of Monotony on Driver’s Vigilance, Doctor of Philosophy, Queensland University of Technology, 2010. 719. Stiller, C. Ros, F. Ament, C., Towards spatial awareness in recommender systems, International Conference for Internet Technology and Secured Transactions, ICITST 2009, 9-12 Nov. 2009, pp. 1 – 7. 720. Sebastian M. Saiegh, Francisco Cantu, Fraudulent Democracy? An Analysis of Argentina's Infamous Decade using Supervised Machine Learning, APSA 2010 Annual Meeting. 721. Korbinian Frank, Marıa Josefa Vera Nadales, Patrick Robertson and Michael Angermann, Reliable Real-Time Recognition of Motion Related Human Activities Using MEMS Inertial Sensors, 23rd International Technical Meeting of the Satellite Division of the Institute of Navigation 2010, ION GNSS 2010 4, pp. 2919-2932. 722. Wasif Afzal, Using Faults-Slip-Through Metric As A Predictor of Fault-Proneness, 2010 Asia Pacific Software Engineering Conference, pp. 414-422. 723. Meftah Salem M Alfatni, Abdul Rashid Mohamed Shariff and Osama M. Ben Saaed, The Design and Process of the External Inspection System in Agricultural Engineering, Map Asia & ISG 2010, 26-28/7/2010. 724. Salim Jouili and Salvatore Tabbone, Graph Embedding Using Constant Shift Embedding, International Conference on Pattern Recognition - ICPR 2010 Springer Berlin / Heidelberg (Ed.) (2010) 83-92. 725. Yandan Lu, Kazuya Kawamura, Data-Mining Approach to Work Trip Mode Choice Analysis in Chicago, Illinois, Area, Transportation Research Record: Journal of the Transportation Research Board, Volume 2156 / 2010, 73-80. 726. Francisco Vicen Cipolla-Ficarra, Quality and Communicability for Interactive Hypermedia Systems: Concepts and Practices for Design, IGI Global snippet, 2010 727. Yunjiao Xue, Ontological View-driven Semantic Integration in Open Environments, Doctor of Philosophy, The University of Western Ontario, London, Ontario, Canada, 2010. 728. Yanping Yang, Guangzhi Ma, Ensemble-based active learning for class imbalance problem, J. Biomedical Science and Engineering, 2010, 3, 1022-1029 729. Nicholas M. Boers And Ioanis Nikolaidis, Pawel Gburzynski, Sampling and Classifying Interference Patterns in a Wireless Sensor Network, TR, Olsonet Communications Corporation, Canada, 2010 730. Johan L. Perols, Detecting Financial Statement Fraud: Three Essays on Fraud Predictors, Multi-Classifier Combination and Fraud Detection Using Data Mining, Doctor of Philosophy, Department of Information Systems and Decision Sciences, Department of Accountancy, College of Business, University of South Florida, April 10, 2008 731. Μπαλλαση Γεωργιας, Αξιολογηση Πιστοληπτικης Ικανοτητας Και Μοντελα Προβλεψης Πτωχευσης, ∆ιατµηµατικο Προγραµµα Μεταπτυχιακων Σπουδων Στην ∆ιοικηση Επιχειρησεων, Οκτώβριος 2010 732. Anuar, N.B.; Papadaki, M.; Furnell, S.; Clarke, N., An investigation and survey of response options for Intrusion Response Systems (IRSs), Information Security for South Africa (ISSA), 2010, Publication Year: 2010 , Page(s): 1 – 8 733. Qingshan Deng; Detection of fraudulent financial statements based on Naïve Bayes classifier, 2010 5th International Conference on Computer Science and Education (ICCSE), Publication Year: 2010 , Page(s): 1032 – 1035 734. Janice Kwan-Wai Leung and Chun Hung Li, Concept Discovery in Youtube.com Using Factorization Method, HANDBOOK OF SOCIAL NETWORK TECHNOLOGIES AND APPLICATIONS, 2010, Part 2, 281-302.

735. Alexander Getman, Jinhak Kim, Tae-Chan Kim, IMAGING SYSTEM HAVING WHITE-RGB COLOR FILTER ARRAY, Proceedings of 2010 IEEE 17th International Conference on Image Processing, September 26-29, 2010, Hong Kong, pp. 569-572. 736. Veenu Mangat, Increasing Performance of Rule Mining in the Medical Domain Using Natural Intelligence Concepts, Proceedings of the World Congress on Engineering and Computer Science 2010 Vol I WCECS 2010, October 20-22, 2010, San Francisco, USA 737. Kurt Weissgerber, Developing an Effective and Efficient Real Time Strategy Agent for Use as a Computer Generated Force; AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT 738. Pai, P.-F., Hsu, M.-F., Wang, M.-C, Computer-assisted audit techniques based on an enhanced rough set model, 6th International Conference on Networked Computing and Advanced Information Management, NCM 2010, pp. 207-212 739. Adam, Asrul; Shapiai, Ibrahim; Ibrahim, Zuwairie; Khalid, Marzuki; Chew, Lim Chun; Jau, Lee Wen; Watada, Junzo; A Modified Artificial Neural Network Learning Algorithm for Imbalanced Data Set Problem, 2010 Second International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN). 740. Haifeng sui; Bingru Yang; Yun Zhai; Wu Qu; Yun Zhai; Bing An; The problem of classification in imbalanced data sets in knowledge discovery, 2010 International Conference on Computer Application and System Modeling (ICCASM). 741. Pablo D. Robles-Granda and Ivan V. Belik, A Comparison of Machine Learning ClassifiersApplied to Financial Datasets, Proceedings of the World Congress on Engineering and Computer Science 2010 Vol I, WCECS 2010, October 20-22, 2010, San Francisco, USA 742. P. Ravisankar, V. Ravi, G. Raghava Rao, I. Bose, Detection of financial statement fraud and feature selection using data mining techniques, Decision Support Systems, In Press, Accepted Manuscript, Available online 12 November 2010 743. Kuang, Ye Chow; Ooi, Melanie Po-Leen, Complex feature alternating decision tree, International Journal of Intelligent Systems Technologies and Applications, Volume 9, Numbers 3-4, November 2010 , pp. 335-353(19) 744. Hajira Jabeen, Abdul Rauf Baig, DepthLimited crossover in GP for classifier evolution, Computers in Human Behavior, 27 (5), pp. 1475-1481 745. Bounhas, M., Mellouli, K., A possibilistic classification approach to handle continuous data, 2010 ACS/IEEE International Conference on Computer Systems and Applications. 746. Matthias Uhl, Explaining US Consumer Behavior and Expectations with News Sentiment, Technical Report, ETH Zurich - KOF Swiss Economic Institute. 747. B. Byeon and K. Rasheed, Bayesian Networks and Genetic Algorithms for Promoter Recognition, Proceeding IASTED Technology Conferences – 2010, pp. 593-598 748. Chidansh Amitkumar Bhatt and Mohan S. Kankanhalli, Multimedia data mining: state of the art and challenges, Multimedia Tools and Applications 51 (1), pp. 35-76 749. Marcin Mirończuk, PRZEGLĄD I KLASYFIKACJA ZASTOSOWAŃ, METOD ORAZ TECHNIK EKSPLORACJI DANYCH, Studia i Materiały Informatyki Stosowanej, Tom 2, Nr 2, 2010, str. 35-46

750. Wang, X., Zhang, D., Wang, Y., Research on ontology incremental construction based on semantic graph, 2010, Journal of Computational Information Systems 6 (10), pp. 3397-3406 751. Manoj Bahel, Chhaya Dule, Analysis of Frequent Itemset generation process in Apriori and RCS (Reduced Candidate Set) Algorithm, Int. J. Advanced Networking and Applications, Volume: 02, Issue: 02, Pages: 539-543 (2010). 752. Nuray Demirel, M. Kemal Emil, H. Sebnem Duzgun, Surface coal mıne area monıtorıng usıng multı-temporal hıgh-resolutıon satellıte ımagery, International Journal of Coal Geology, 2011 (1), pp. 3-11 753. Maryam S. Mirian, Majid Nili Ahmadabadi, Babak N. Araabi, Roland R. Siegwart, Learning Active Fusion of Multiple Experts' Decisions: An Attention-Based Approach, Neural Computation, Feburary 2011, Vol. 23, No. 2, Pages 558-591. 754. Zhongming Ma, Gautam Pant, Olivia R.L. Sheng, Mining Competitor Relationships from Online News: A Network-based Approach, Electronic Commerce Research and Applications, 10 (4), pp. 418-427 755. E. Chandra, K. Nandhini, Knowledge Mining from Student Data, European Journal of Scientific Research, ISSN 1450-216X Vol.47 No.1 (2010), pp.156-163 756. Amit P Ganatra, Yogesh P Kost, Trend Spotting Technological advancement, Issues, Challenges and Opportunities in Information Fusion Methods specific to Multiple Classifier Systems - A Survey Paper, International Journal of Computer Theory and Engineering, Vol.2, No.6, December, 2010, 1793-8201 757. Mehmood, Yasir; Khadam, Sania; Hameed, Kamran; Riaz, Faisal; Ghafoor, Abdul; Effects of different data characteristics on classifier's performance, 2010 6th International Conference on Emerging Technologies (ICET), Digital Object Identifier: 10.1109/ICET.2010.5638383, Publication Year: 2010 , Page(s): 39 – 44 758. Adel, Alti; Abbdellah, Boukerram; , "CxQWS: Context-aware Quality Semantic Web Service," International Conference on Machine and Web Intelligence (ICMWI), 2010, pp.69-76, 3-5 Oct. 2010 759. SATHI T. MARATH, Large-Scale Web Page Classification, PhD Thesis, Department of Computer Science, Dalhousie University, Canada, 2010. 760. Jean-Philippe Nordmann, Christian Baudouin, Jean-Paul renard, Philippe Denis, Antoine Regnault, Gilles Berdeaux, Identification of noncompliant glaucoma patients using Bayesian networks and the eye-Drop Satisfaction Questionnaire, Clinical Ophthalmology 2010:4 1489–1496 761. Willie Ng, Manoranjan Dash, A comparison between approximate counting and sampling methods for frequent pattern mining on data streams, Intelligent Data Analysis, Volume 14, Number 6 / 2010, 749-771 762. Mehdi Rezaeian, Assessment of earthquake damages by image-based techniques, M.Sc. in the field of Electrical Engineering - University of Tehran, Iran. 763. Marom, Nadav David; Rokach, Lior; Shmilovici, Armin; Using the confusion matrix for improving ensemble classifiers, 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel (IEEEI), Publication Year: 2010 , Page(s): 555 – 559 764. Khoshgoftaar, T. M.; Van Hulse, J.; Napolitano, A.; Comparing Boosting and Bagging Techniques With Noisy and Imbalanced Data, IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, Volume: 41 , Issue: 3, Publication Year: 2011 , Page(s): 552 – 568 765. Yun Yang; Ke Chen; Unsupervised learning via iteratively constructed clustering ensemble, The 2010 International Joint Conference on Neural Networks (IJCNN), Publication Year: 2010 , Page(s): 1 – 8

766. A Singh, J Liu, JV Guttag, Discretization of Continuous ECG based Risk Metrics Using Asymmetric and Warped Entropy Measures, Computing in Cardiology 2010;37:473−476. 767. Salim Jouili and Salvatore Tabbone, Graph Embedding Using Constant Shift Embedding, Lecture Notes in Computer Science, 2010, Volume 6388, Recognizing Patterns in Signals, Speech, Images and Videos, Pages 83-92 768. Melissa Cline and Rachel Karchin, Using bioinformatics to predict the functional impact of SNVs, Bioinformatics (2010), Vol. 27 no. 4 2011, pages 441–448 769. David Martinez, Timothy Baldwin, Word sense disambiguation for event trigger word detection, International Conference on Information and Knowledge Management, Proceedings, pp. 41-47. 770. Ijaz Ali Shoukat , Mohsin Iftikhar, Suggested Hybrid Approach for Robust Classification of EEG Data for Brain Computer Interface, In Proceedings of WORLDCOM’10-International Conference on Bioinformatics Computational Biology, BIOCOMP 2010, July 12-15, 2010, Las Vegas Nevada, USA, 2 Volumes 2010. 771. Xia Ning, George Karypis, In silico structure-activity-relationship (SAR) models from machine learning: a review, Drug Development Research, Article first published online: 16 DEC 2010, DOI: 10.1002/ddr.20410 772. Tarek Helmy, Abdirahman Daud, Intelligent Agent for Information Extraction from Arabic Text without Machine Translation, Proceedings Of The 1st Workshop On Cross-Cultural And Cross-Lingual Aspects Of The Semantic Web 2010, Shanghai, China, November 7th, 2010. 773. Mihai-Constantin AVORNICULUI, Silviu Claudiu POPA, Constantin AVORNICULUI, The Development and the Evaluation of a System for Extracting Events from Web Pages, Informatica Economică vol. 14, no. 4/2010, pp. 114-123 774. Zhu, Dengya; Dreher, Heinz, Characteristics and Uses of Labeled Datasets - ODP Case Study, 2010 Sixth International Conference on Semantics Knowledge and Grid (SKG), Publication Year: 2010 , Page(s): 227 – 234 775. Antonio Wong, Pak-lok Poon, Using Information Technologies to Restore Investor Trust, ISACA JOURNAL VOLUME 5, 2009, 1-5. 776. Masaki Takahashi; Mahito Fujii; Masahiro Shibata; Nobuyuki Yagi; Shin’ichi Satoh, Automatic Pitch Type Recognition System from Single-View Video Sequences of Baseball Broadcast Videos, International Journal of Multimedia Data Engineering and Management (IJMDEM), Volume: 1, Issue: 1, 2010, pp. 12-36. 777. Constanta-Nicoleta Bodea; Maria Dascalu; Melania Coman; Quality of Project Management Education and Training Programmes, International Journal of Knowledge Society Research (IJKSR), Volume: 1, Issue: 2, 2010, pp. 13-25 778. Kai Puolamaki, Panagiotis Papapetrou, and Jefrey Lijffijt, Visually Controllable Data Mining Methods, IEEE International Conference on Data Mining Workshop, (ICDM VAKD) December 2010, Sydney, Australia 779. Αλιακίζογλου Ελένη, Concept Mapping: Αξιολόγηση µεθόδων και εργαλείων, Εφαρµογή ενδεικτικά παραδείγµατα, Msc, Μεταπτυχιακό πρόγραµµα Γεωπληροφορικής, Σχολή Αγρονόµων και Τοπογράφων Μηχανικών, Φεβρουάριος 2009. 780. Honggang Wang, Shaoen Wu, Intelligent architecture through a supervised learning approach in wireless multimedia sensor networks, SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference

781. Aleksandar Kartelj, Classification of Smoking Cessation Status Using Various Data Mining Methods, Mathematic a Balkanica, NewSeries Vol. 4, 2010, Fasc.3-4 782. Lifei Chen, Qingshan Jiang, Shengrui Wang, "Model-Based Method for Projective Clustering," IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Knowledge and Data Engineering 24 (7) , 2012, pp. 1291-1305. 783. Bassam Al-Salemi and Mohd. Juzaiddin Ab Aziz, Statistical Bayesian Learning for Automatic Arabic Text Categorization, Journal of Computer Science 7 (1): 39-45, 2011, ISSN 1549-3636 784. Chun-Teck Lye, Lik-Neo Ng, Mohd Daud Hassan, Wei-Wei Goh, Check-Yee Law and Noradzilah Ismail, Predicting Pre-university Student's Mathematics Achievement, International Conference on Mathematics Education Research 2010 (ICMER 2010), Volume 8, 2010, Pages 299-306 785. Pourebrahimi, A.; Mokhtar, S.; Sahami, S.; Mahmoodi, M.; Status detection and fault diagnosing of rotatory machinery by vibration analysis using data mining, 2010 2nd International Conference on Computer Technology and Development (ICCTD), Nov. 2010, page(s): 131 – 135 786. Kussul, N.N., Sokolov, B.V., Zyelyk, Ya.I., Zelentsov, V.A., Skakun, S.V., Shelestov, A.Yu., Disaster risk assessment based on heterogeneous geospatial information, Journal of Automation and Information Sciences 42 (12), pp. 32-45, 2010. 787. Mehmood, Y., Ishtiaq, M., Tariq, M., Jaffar, M.A., Classifier ensemble optimization for gender classification using genetic algorithm, 2010 International Conference on Information and Emerging Technologies, ICIET 2010 788. Qiong Liu, Ying Wu, SUPERVISED LEARNING, Encyclopedia of the Science of Learning, 1/2011. 789. Parsaei, H., Stashuk, D.W., Rasheed, S., Farkas, C., Hamilton-Wright, Intramuscular EMG signal decomposition, 2010, Critical Reviews in Biomedical Engineering 38 (5), pp. 435-465 790. J. Ashok Kumar, P.R. Rao, Errors of Supervised Classification Techniques on Real World Problems, Journal of Global Research in Computer Science, Volume 1, No. 5, December 2010 791. Andy Tirtajaya and Diaz D. Santika, Classification of Microcalcification Using Dual-Tree Complex Wavelet Transform and Support Vector Machine, 2010 Second International Conference on Advances in Computing, Control and Telecommunication Technologies, pp. 164-166. 792. Mirian, M.S., Ahmadabadi, M.N., Araabi, B.N., Ajallooeian, M.M., Learning with which local decision expert to consult next case study: Arrhythmia diagnosis , 2011, International Journal of Innovative Computing, Information and Control 7 (1), pp. 289-299 793. Manjunath T.N, Ravindra S Hegadi, Ravikumar G K, A Survey on Multimedia Data Mining and Its Relevance Today, IJCSNS International Journal of Computer Science and Network Security, VOL.10 No.11, November 2010, pp. 165-170 794. Emanuel de Barros Albuquerque Ferreira, Analise de Sentimento em Redes Sociais Utilizando Influência das Palavras, UNIVERSIDADE FEDERAL DE PERNAMBUCO, 2010. 795. Zilton Junior ; Gisele Pappa ; Filipe Arcanjo ; Wagner Meira Jr. ; Marcos A. Gonçalves, Combinando Multi-Visões através de um Algoritmo de Nuvens de Partículas. In: XXV Simpósio Brasileiro de Banco de Dados, 2010, Belo Horizonte.

Prêmio: Melhor trabalho da sessão de Short Papers do XXV Simpósio Brasileiro de Banco de Dados. 796. Joe Hoffert, Douglas C. Schmidt, Aniruddha Gokhale, Evaluating Timeliness and Accuracy Trade-offs of Supervised Machine Learning for Adapting Enterprise DRE Systems in Dynamic Environments, International Journal of Computational Intelligence Systems 4 (5) , pp. 806-816 797. Sneha Soni, Shailendra Shrivastava, Classification of Indian Stock Market Data Using Machine Learning Algorithms, International Journal on Computer Science and Engineering Vol. 02, No. 09, 2010, 2942-2946 798. Yi-Bin Lu, Shu-Chang Din, Chao-Fu Zheng, and Bai-Jian Gao, Using Multi-Feature and Classifier Ensembles to Improve Malware Detection, JOURNAL OF C.C.I.T., VOL.39, NO.2, NOV., 2010, pp. 57-72. 799. S. Paredes, T. Rocha, P. de Carvalho, J. Henriques, M. Harris, J. Morais, Long term cardiovascular risk models’ combination, Computer Methods and Programs in Biomedicine, 101 (3), pp. 231-242 800. Sakari Stenudd, Using machine learning in the adaptive control of a smart environment, ISBN 978-951-38-7420-9 (URL: http://www.vtt.fi/publications/index.jsp) 801. Sakari Stenudd, Using machine learning in the adaptive control of a smart environment, ISBN 978-951-38-7420-9 (URL: http://www.vtt.fi/publications/index.jsp) 802. Kevin Moffitt, Mary B. Burns, and William L. Felix, Jr., Using Lexical Bundles to Discriminate between Fraudulent and Non-fraudulent Financial Reports, 2nd annual Pre-ICIS Workshop on Accounting Information Systems, December 11-12, 2010, Saint Louis, MO, U.S.A. 803. Arathi Shankari. Sarthi. Lcharanya. K Deepika. R, Improving Classification Accuracy of Ant Colony Optimization Using Entropy Value of Attributes, Bachelor of Engineering, Avinashilingam University for Women, April 2010. 804. Peter Hirschbichler, Order Quantity Forecasting for the Fashion Industry, Master Thesis, 2010, Fachhochschule Salzburg (Information Technology und Systems Management) 805. Lye, C.-T., Ng, L.-N., Hassan, M.D., Goh, W.-W., Law, C.-Y., Ismail, N., Predicting pre-university students' mathematics achievement, 2010 Procedia - Social and Behavioral Sciences 8, pp. 299-306 806. Addis, A., Armano, G., Vargiu, E. 2010, Assessing progressive filtering to perform hierarchical text categorization in presence of input imbalance, KDIR 2010 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval , pp. 14-23 807. Amelia Zafra and Sebastián Ventura, Web Usage Mining for Improving Students Performance in Learning Management Systems, Lecture Notes in Computer Science, 2010, Volume 6098, Trends in Applied Intelligent Systems, Pages 439-449 808. Adam L. Bazinet and Michael P. Cummings, Computing the Tree of Life: Leveraging the Power of Desktop and Service Grids, Fifth Workshop on Desktop Grids and Volunteer Computing Systems (PCGrid 2011), pp. 1896-1902. 809. Groth, Sven S., Enhancing Automated Trading Engines to Cope qith News-Related Liquidity Shocks, 18th Eu,ropean Conference on Information Systems 810. TIAN Xin．hui，LEE Sung-kee, Phrase Segmentation for Chinese Text Classification, COMPUTER TECHNOIOGY AND DEVELOPMENT, Vo1．20 No．1, Jan． 2010, pp. 9-13

811. W. Hamalainen and M. Vinni, Classifiers for educational data mining, TR, University of Helsinki 812. Olympia Roeva and Tsonyo Slavov, Fed-Batch Cultivation Control Based on Genetic Algorithm PID Controller Tuning, Lecture Notes in Computer Science, 2011, Volume 6046, Numerical Methods and Applications, Pages 289-296 813. Joaquim F. Pinto da Costa , Ricardo Sousa , Jaime S. Cardoso, An All-at-once Unimodal SVM Approach for Ordinal Classification, 2010 Ninth International Conference on Machine Learning and Applications, Issue Date:December 2010, pp. 59-64 814. Boseon Byeon , Khaled Rasheed, Selection of Classifier and Feature Selection Method for Microarray Data, 2010 Ninth International Conference on Machine Learning and Applications, December 2010, pp. 534-539 815. Jason Van Hulse , Taghi M. Khoshgoftaar , Amri Napolitano, A Novel Noise Filtering Algorithm for Imbalanced Data, 2010 Ninth International Conference on Machine Learning and Applications, Date:December 2010, pp. 9-14 816. Sai Venu Gopal Lolla , Lawrence L. Hoberock, Improved Unsupervised Clustering over Watershed-Based Clustering, 2010 Ninth International Conference on Machine Learning and Applications , Issue Date:December 2010, pp. 253-259 817. Valentina Bayer Zubek , Faisal M. Khan, Aggregating Multiple Biological Measurements Per Patient, 2010 Ninth International Conference on Machine Learning and Applications, December 2010, pp. 788-792 818. Bernd Scholz-Reiter , Jens Heger , Torsten Hildebrandt, Gaussian Processes for Dispatching Rule Selection in Production Scheduling: Comparison of Learning Techniques, 2010 IEEE International Conference on Data Mining Workshops, December 2010, pp. 631-638 819. Adam Stráník a Roman Čmejla, Popis spektrálních vlastností sibilantů /s/, /š/, /z/ a /ž/ na základě LSP parametrizace, Akustické listy, 16(4), prosinec 2010, str. 9–14 820. Paolo Soda, A multi-objective optimisation approach for class-imbalance learning, Pattern Recognition, In Press, Accepted Manuscript, Available online 3 February 2011 821. Esma Bendiab and Mohamed Kheireddine Kholladi, The Negative Selection Algorithm: a Supervised Learning Approach for Skin Detection and Classification, IJCSNS International Journal of Computer Science and Network Security, VOL.10 No.11, November 2010, pp. 86-92. 822. Jaime S. Cardoso, Ricardo Sousa, Measuring the performance of ordinal classification, International Journal of Pattern Recognition and Artificial Intelligence, Volume: 25, Issue: 8(2011) pp. 1173-1195 823. Somkid Soottitantawat, and Surapong Auwatanamongko, Texture Classification Using an Invariant Texture Representation and a Tree Matching Kernel, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 1, January 2011, pp. 99-106. 824. Miss. G´ enevi` eve Am´ elie MEDEM KUATSE, Conception de m´ecanismes d’am´elioration de la gestion d’incidents dans les r´ eseaux IP, Docteur de l’Universit´ e Pierre et Marie Curie –UPMC Sorbonne Universit´es 825. Taiping Zhang , Yuan Yan Tang , Bin Fang , Yong Xiang, Document Clustering in Correlation Similarity Measure Space, IEEE Transactions on Knowledge and Data Engineering 24 (6) , pp. 1002-1013. 826. ZHONG Xiao-xu , Reseach and Application on Hierarchical Clustering Method in the Keywords Extraction, COMPUTER KNOWLEDGE AND TECHNOLOGY, 2009, 5(6)

827. Thiruvadi, S. and S.C. Patel, 2011. Survey of data-mining techniques used in fraud detection and prevention. Inform. Technol. J., 10: 710-716. 828. Cem Iyigun, Clustering, Wiley Encyclopedia of Operations Research and Management Science, Published Online: 14 JAN 2011, DOI: 10.1002/9780470400531.eorms0149 829. Ce Zhu, Yuenan Li, Xiamu Niu, Streaming Media Architectures, Techniques, and Applications: Recent Advances, IGI Global snippet, 2010 - Computers - 482 pages 830. Vegard Engen, Machine Learning For Network Based Intrusion Detection, Doctor of Philosophy, Bournemouth University, 2010. 831. Alexandra Scherbart, Looking Inside Ensembles of negatively correlated Self-Organizing Maps, Thesis, Bielefeld University, 2011 832. Minna Kallio, Barbro Back, The Self-Organizing Map in Selecting Companies for Tax Audit, Acta Wasaensia, UNIVERSITAS WASAENSIS 2011, pp. 45-59. 833. Analytical and CASE study on Limited Search, ID3, CHAID, C4.5, Improved C4.5 and OVA Decision Tree Algorithms to design Decision Support System, INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN SCIENCE AND TECHNOLOGY (ICM2ST-10); doi:10.1063/1.3526277 November 6, 2010 -- Volume 1324, pp. 9-11 834. Amna Ali , Minkoo Kim, Amalgamation of SVM Based Classifiers for Prognosis of Breast Cancer Survivability, 2010 Fourth International Conference on Genetic and Evolutionary Computing, pp. 173-176 835. Giovanna Menardi, Nicola Torelli, Training and assessing classification rules with unbalanced data, TR, Dipartimento di Scienze Economiche, Aziendali, Matematiche e Statistiche “Bruno de Finetti”, 2010 836. By Leandro L. Minku , Xin Yao, DDD: A New Ensemble Approach For Dealing With Concept Drift, IEEE Transactions on Knowledge and Data Engineering, February 2011 837. Zhai Y., Yang B., Ma N., Ruan D.- New construction of ensemble classifiers for imbalanced datasets.- In: Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, Hangzhou, China, 15-16 November 2010 / ISKE2010, Beijing, China, IEEE Press, 2010, p. 228-233 838. Steve L. Pham, Jonathan P. Bickel, Michael L. Moritz, and James E. Levin, Discovering Knowledge on Pediatric Fluid Therapy and Dysnatremias From Quantitative Data Found in Electronic Medical Records, AMIA Annu Symp Proc. 2010; 2010: 652–656. 839. Bhatnagar, V., Bhardwaj, M., Mahabal, A., Comparing SVM ensembles for imbalanced datasets, Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 , pp. 651-657 840. Bakar, A.A., Othman, Z., Md. Yusoff, M.S.N., Ismail, R., Development of knowledge model for insurance product decision using the associative classification approach, Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 , pp. 1481-1486 841. Yi, L., Li, J., He, L., Hao, J., Zhao, R., Prosody phrase boundary prediction with ensemble learning, 2010 7th International Symposium on Chinese Spoken Language Processing, pp. 397-400 842. Jinchang Ren, Dong Wang, Jianmin Jiang, Effective recognition of MCCs in mammograms using an improved neural classifier, Engineering Applications of Artificial Intelligence 24 (4), pp. 638-645

843. Kehan Gao, Taghi M. Khoshgoftaar and Naeem Seliya, Predicting high-risk program modules by selecting the right software measurements, Software Quality Journal, DOI: 10.1007/s11219-011-9132-0 844. Alexander Scheidler and Martin Middendorf, Learning classifier systems to evolve classification rules for systems of memory constrained components, Evolutionary Intelligence , 4 (3), pp. 127-143 845. Venkatadri.M and Dr. Lokanatha C Reddy. Article: A Review on Data mining from Past to the Future. International Journal of Computer Applications 15(7):19–22, February 2011. Published by Foundation of Computer Science. 846. Bithin Kanti Shee, Swati Vipsita, and Santanu Ku. Rath. 2011. Protein feature classification using particle swarm optimization and artificial neural networks. In Proceedings of the 2011 International Conference on Communication, Computing; Security (ICCCS '11). ACM, New York, NY, USA, 313-318. 847. L. Dee Miller, Nate Stender, Leen-Kiat Soh, Ashok Samal, Kevin Kupzyk, Hierarchical Clustering Algorithm with Dynamic Tree Cut for Data Imputation, TR-UNL-CSE-2011-0003 848. Ravikumar G K, Manjunath T. N, Ravindra S. Hegadi, Umesh I.M, Cross Industry Survey on Data mining Applications, International Journal of Computer Science and Information Technologies, Vol. 2 (2) , 2011, 624-628 849. Aleksandar Jevtić, Joel Quintanilla-Domínguez, José Miguel, Barrón-Adame and Diego Andina, Image Segmentation Using Ant System-Based Clustering Algorithm, Advances in Intelligent and Soft Computing, 2011, Volume 87, Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011, Pages 35-45 850. M. Thangaraj, R. Somasundara Manikandan, A Survey on Semantic Web Based E-Tourism Dynamic Package, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 2 (2) , 2011, 611-613 851. Faheem, M.T.; Ammar, R.A.; Sallam, A.-S.A.H.; Sarhan, A.M.; Ragab, H.-A.M.; A hybrid algorithm for restructuring distributed Object-oriented software, 2010 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 15-18 Dec. 2010, page(s): 202 – 208 852. Reddy, M.V.J., Kavitha, B., Efficient ensemble algorithm for mixed numeric and categorical data, 2010 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2010 , pp. 106-109 853. Madireddi Vasu and Vadlamani Ravi, A hybrid under-sampling approach for mining unbalanced datasets: applications to banking and insurance, International Journal of Data Mining, Modelling and Management, Volume 3, Number 1 / 2011, Pages: 75 – 105 854. Danuta Zakrzewska, Eksploracja Danych W Budowaniu Personalizowanych Systemów Edukacyjnych, TR, Kapital Ludzki, Narodowa Strategia Spojnosci 855. Miguel Sánchez Sotelo, Rosa María Valdovinos Rosas, Roberto Alejo Eleuterio, Edgar Herrera, and Eduardo Gasca, Clustering analysis, case of study: Environmental data RAMA-Toluca, Journal of Engineering and Computer Innovations Vol. 2(2), pp. 22-27, February 2011 856. Amelia Zafra, Cristóbal Romero, and Sebastián Ventura, Multi-Instance Learning for Predicting the Student’s Performance, Handbook of Educational Data Mining: Pages 187–200, Taylor and Francis Group. 857. SUN Jing-tao, ZHANG Qiu-yu, YUAN Zhan-ting, and DONG Jian-she, Application of Game Theory for Email Feature Selection, Journal of University of Electronic Science and Technology of China, Jan. 2011, Vol.40 No.1, pp. 95-99.

858. A.O. Ogunde, O. Folorunso, A.S. Sodiya and G.O. Ogunleye, A Review of Some Issues and Challenges in Current Agent-Based Distributed Association Rule Mining, Asian Journal of Information Technology, Year: 2011, Volume: 10, Issue: 2, Page No.: 84-95. 859. Al-Obeidat, F. and Belacel, N. (2011), Alternative approach for learning and improving the MCDA method PROAFTN. International Journal of Intelligent Systems, 26: 444–463. doi: 10.1002/int.20476 860. Λύρας Π. ∆ηµήτριος, Παραµετροποίηση Στοχαστικών Μεθόδων Εξόρυξης Γνώσης από ∆δεοµένα, Μετασχηµατισµού Συµβολοσειρών και Τεχνικών Συµπερασµατικού Λογικού Προγραµµατισµού, ∆ιδακτορική ∆ιατριβή, Τµήµα Ηλεκτρολόγων Μηχανικών και. Τεχνολογίας Υπολογιστών, Πανεπιστήµιο Πατρών, 2010 861. Λύρας Π. ∆ηµήτριος, Παραµετροποίηση Στοχαστικών Μεθόδων Εξόρυξης Γνώσης από ∆δεοµένα, Μετασχηµατισµού Συµβολοσειρών και Τεχνικών Συµπερασµατικού Λογικού Προγραµµατισµού, ∆ιδακτορική ∆ιατριβή, Τµήµα Ηλεκτρολόγων Μηχανικών και. Τεχνολογίας Υπολογιστών, Πανεπιστήµιο Πατρών, 2010 862. Kittiphattanabawon, N., Theeramunkong, T., Nantajeewarawat, E., News relation discovery based on association rule mining with combining factors, 2011 IEICE Transactions on Information and Systems E94-D (3), pp. 404-415 863. Soe Yu Maw; Ni Lar Thein, Multi-Agent Mobile Tourism System, Encyclopedia of Information Science and Technology, Second Edition 2009 Pages: 2722-2727 864. D.R. Pontin, S. Schliebs, S.P. Worner, M.J. Watts, Determining factors that influence the dispersal of a pelagic species: A comparison between artificial neural networks and evolutionary algorithms, Ecological Modelling, In Press, Available online 26 March 2011 865. Claster, W. B., Shanmuganathan, S., Ghotbi, N., Sallis, P.J., (2011). Text classification for medical informatics: a comparison of models for data mining radiological medical records. In Asia Pacific World 2(1) 2011 (in press). 866. Filiz Bunyak, Adel Hafiane and Kannappan Palaniappan, Histopathology Tissue Segmentation by Combining Fuzzy Clustering with Multiphase Vector Level Sets, SOFTWARE TOOLS AND ALGORITHMS FOR BIOLOGICAL SYSTEMS, Advances in Experimental Medicine and Biology, 2011, Volume 696, Part 6, 413-424 867. Iyigun, C. 2011. Probabilistic Distance Clustering. Wiley Encyclopedia of Operations Research and Management Science, DOI: 10.1002/9780470400531.eorms0679 868. Chen, S., Guo, G.-D., Chen, L.-F., Clustering ensembles based classification method for imbalanced data sets, 2010 Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence 23 (6), pp. 772-780 869. Vipsita, S., Shee, B.K., Rath, S.K., An efficient technique for protein classification using feature extraction by artificial neural networks, Proceedings of the 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010 870. Jakob Rogstadius, Vassilis Kostakos, Jim Laredo, Maja Vukovic, Towards Real-time Emergency Response using Crowd Supported Analysis of Social Media, CHI 2011, May 7–12, 2011, Vancouver, BC, Canada. 871. Beomsoo Han, Yifeng Liu, Simon W. Ginzinger and David S. Wishart, SHIFTX2: significantly improved protein chemical shift prediction, Journal of Biomolecular NMR, Online First™, 30 March 2011

872. Krist of Csorba, Searching for Similar Documents with Limited Resources, Ph.D. Thesis, Department of Automation and Applied Informatics, Budapest University of Technology and Economics, 2010 873. A.V. Senthil Kumar, Adnan Alrabea, Pedamallu Chandra Sekhar, Temporal Association Rule Mining in Large Databases, Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains, Hershey • New York, 2011. 874. Beatrice Lazzerini and Sara Lioba Volpi, Classifier ensembles to improve the robustness to noise of bearing fault diagnosis, Pattern Analysis & Applications, Online First™, 31 March 2011 875. D Michalopoulos, I Mavridis, Vasileios Vitsas, Towards a Risk Management Based Approach for Protecting Internet Conversations, Proceedings of the 9th European Conference on Information Warfare and Security, pp. 201-208. 876. Ahmad, W., Narayanan, A., Humoral artificial immune system (HAIS) for supervised learning, 2010 Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010 ,pp. 37-44 877. Noel Lopes and Bernardete Ribeiro, A Robust Learning Model for Dealing with Missing Values in Many-Core Architectures, Adaptive And Natural Computing Algorithms, Lecture Notes in Computer Science, 2011, Volume 6594/2011, 108-117. 878. Raúl Ramos-Pollán, Miguel Ángel Guevara-López and Eugénio Oliveira, A Software Framework for Building Biomedical Machine Learning Classifiers through Grid Computing Resources, Journal of Medical Systems 879. Wei Zheng, Chaokun Wang, Rui Li, Xiaoping Ou and Weijun Chen, Music Review Classification Enhanced by Semantic Information, Lecture Notes in Computer Science, 2011, Volume 6612, Web Technologies and Applications, Pages 5-16 880. S. Thomas Ng, James M.W. Wong, Jiajie Zhang, Applying Z-score model to distinguish insolvent construction companies in China, Habitat International 35 (4), pp. 599-607 881. Mirolyub Ivanov Mladenov, Stanislav Miroslavov Penchev, Martin Plamenov Dejanov, Metin Sebahatin Mustafa, Quality Assessment of Grain Samples using Color Image Analysis, 2011 Proceedings of the 8th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2011 , pp.37-44 882. Víctor Manuel Méndez González, Un sistema para la extracción de interacciones farmacológicas basado en Support Vector Machines (SVM), Universidad Carlos III de Madrid, 2010. 883. Christoff Fourie, An one Class Object Based System for Sparse Geographic Feature Identification, Master of Science at Stellenbosch University, March 2011 884. Philippe du Jardin, Eric Séverin, Predicting corporate bankruptcy using a self-organizing map: An empirical study to improve the forecasting horizon of a financial failure model, Decision Support Systems, In Press. 885. Rakhi Garg, P. K. Mishra, Exploiting Parallelism in Association Rule Mining Algorithms, International Journal of Advancements in Technology, pp. 222-232. 886. Vijayarani, S.; Tamilarasi, A.; SeethaLakshmi, R.; Privacy preserving data mining based on association rule- a survey, International Conference on Communication and Computational Intelligence (INCOCCI), 27-29 Dec. 2010, pp. 99 – 103

887. Rajashree Dash, Rajib Lochan Paramguru, Rasmita Dash, Comparative Analysis of Supervised and Unsupervised Discretization Techniques, International Journal of Advances in Science and Technology, Vol. 2, No. 3, 2011, pp. 29-37. 888. Chitriki Thotappa, Dr. Karnam Ravindranath, Data mining Aided Proficient approach for optimal inventory control in supply chain management, (IJCSIS) International Journal of Computer Science and Information Security, Vol 8, 2010, pp. 43-50. 889. Amit Bhagat, Dr. Sanjay Sharma, Dr. K.R.Pardasani, Feed Forward Neural Network Algorithm for Frequent Patterns Mining, (IJCSIS) International Journal of Computer Science and Information Security, Vol. 8, No.8, November 2010, pp. 201-205. 890. Lummezen Mondal, A dynamic hybrid credit scoring model: A two-stage prediction of credit quality, PhD Illinois Institute of Technology, 2008. 891. QingQing Xu, OneClass boosting and its application to classification problems, PhD Illinois Institute of Technology, 2009 892. Laura Grabowski, The evolutionary origins of memory use in navigation, PhD, ProQuest, USA, 2009. 893. Amarnag Subramanya, Soft-supervised learning, PhD, University of Washighton, 2009. 894. Choongsoon Bae, Analyzing random forests, PhD, University of California, 2008 895. Mehmet Aci and Mutlu Avci. 2011. K nearest neighbor reinforced expectation maximization method. Expert Syst. Appl. 38, 10 (September 2011), 12585-12591. 896. Georgios Mamakis, Athanasios G. Malamos, and J. Andrew Ware, An alternative approach for statistical single-label document classification of newspaper articles, Journal of Information Science 37 (3), pp. 293-303 897. Ebenezer Hailemariam, Rhys Goldstein, Ramtin Attar, Azam Khan, Real-Time Occupancy Detection using Decision Trees with Multiple Sensor Types, 2011 Proceedings of the Symposium on Simulation for Architecture and Urban Design, pp. 141-148, Boston. 898. Silvio R. Cordeiro, Maurício A. Pillon, Análise E Eficiência De Um Algoritmo Paralelo De Mineração De Regras De Associação Para Ambientes De Memória Compartilhada, Sociedade Educacional de Santa Catarina, pp.8-16. 899. Urmanov, Aleksey M., Gross, Kenny C., Bougaev, Anton A., 2011, Method and apparatus for functional relationship approximation through nonparametric regression using R-functions, United States, Oracle America, Inc. (Redwood Shores, CA, US) 7933850, http://www.freepatentsonline.com/7933850.html 900. Bukralia, R., Deokar, A. V., Sarnikar, S., & Hawkes, M. (2011). Using machine learning techniques in student dropout prediction. In H. Burley (Ed.), Cases on Institutional Research Systems. IGI Global. Retrieved from http://dx.doi.org/10.4018/978-1-60960-857-6 901. Jitesh Dundas and David Chik, IBSEAD: - A Self-Evolving Self-Obsessed Learning Algorithm for Machine Learning, International Journal of Computer Science & Emerging Technologies (E-ISSN: 2044-6004), Volume 1, Issue 4, December 2010, pp. 74-79. 902. Li Xiang Zhou Bo, A Performance Prediction Method Based On Naive Bayes Classification, Computer Applications And Software, Vol： 2011, 28(1) 903. M.Awad, M.Stockman, Multistage SVM As A Clinical Decision Making Tool For Predicting Post Operative Patient Status, BIOCOMP '10.

904. Azadeh Haratian Nezhadi, Bita Shadgar and Alireza Osareh, Ontology Alignment Using Machine Learning Techniques, International Journal of Computer Science & Information Technology (IJCSIT), Vol 3, No 2, April 2011, pp. 139-150. 905. Ivan Karl Bindoff, Multiple Classification Ripple Round Rules: Classifications as Conditions, PhD, Faculty of Science, Engineering and Technology, University of Tasmania, 2010. 906. Khurram Shehzad, EDISC: A Class-tailored Discretization Technique for Rule-based Classification, IEEE Transactions on Knowledge and Data Engineering, April 2011 ,pp. 514-519 907. Rui Pais,Rui Máximo Esteves,Chunming Rong, K-means Clustering in the Cloud - A Mahout Test, International Conference on Advanced Information Networking and Applications, March 2011, pp. 514-519 908. Courtney Schirf, Automated Protein Classification Using Rigidity Analysis, Bachelor of Arts with Honours, Mount Holyoke College, May 2011 909. Lisa Fan, Minxiao Lei, Reducing Cognitive Overload by Meta-Learning Assisted Algorithm Selection, DOI: 10.4018/978-1-60566-902-1.ch003, Copyright © 2010, IGI Global. 910. Jose Antonio Fernandes Salvador, Data analysis advances in marine science for fisheries management: Supervised classication applications, PhD, Department of Computer Science and Articial Intelligence of the University of the Basque Country, January 26, 2011 911. Jose Antonio Fernandes Salvador, Data analysis advances in marine science for fisheries management: Supervised classication applications, PhD, Department of Computer Science and Articial Intelligence of the University of the Basque Country, January 26, 2011 912. Wasif Afzal, Search-Based Prediction of Software Quality: Evaluations And Comparisons, Blekinge Institute of Technology, Doctoral Dissertation Series No. 2011:06, School of Computing 913. Venkateswari S., Suresh R.M., Association Rule Mining in Ecommerce: A Survey, International Journal of Engineering Science and Technology (IJEST), Vol. 3 No. 4 Apr 2011, pp. 3086-3089 914. Ravikumar G. K., Manjunath T. N., Ravindra S. Hegadi, Archana R. A., A Study on Design and Analysis of Web Mart Mining and Its Relevance Today, International Journal of Engineering Science and Technology (IJEST), Vol. 3 No. 4 Apr 2011, pp. 3141-3152. 915. Cheng-Jian Xu, Huub CJ Hoefsloot, Age K Smilde, To aggregate or not to aggregate high-dimensional classifiers, BMC Bioinformatics 2011, 12:153 doi:10.1186/1471-2105-12-153 916. Thangamani M, P.Thangaraj, Ontology Based Fuzzy Document Clustering Scheme for Distributed P2P Network, Global Journal of Computer Science and Technology, Volume XI Issue V, April 2011, pp. 11-28. 917. Ch. Roth, Ch. Wentzel, Business Intelligence: Issues in Selecting a Proper Method, Interactive Systems and Technologies: The Problem of Human-Computer Interaction, Volume III, Collection of Scientific Papers, ULYANOVSK 2009, pp. 29-36. 918. Erica Craig, and Falk Huettmann (2009), Using "Blackbox" Algorithms Such AS TreeNET and Random Forests for Data-Ming and for Finding Meaningful Patterns, Relationships and Outliers in Complex Ecological Data: An Overview, an

Example Using G, Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery (pp. 65-84) 919. Esteban S. Abait, Santiago A. Vidal, Claudia A. Marcos, Sandra I. Casas, and Albert A. Osiris Sofia (2010). An Integrated Process for Aspect Mining and Refactoring, Quality and Communicability for Interactive Hypermedia Systems: Concepts and Practices for Design (pp. 176-194) 920. Ivan Bruha (2009). Knowledge Combination vs. Meta-Learning, Encyclopedia of Information Science and Technology, Second Edition (pp. 2325-2331) 921. Danica Damljanovic, and Vladan Devedžic (2009). Applying Semantic Web to E-Tourism, The Semantic Web for Knowledge and Data Management (pp. 243-265) 922. Danica Damljanovic, and Vladan Devedžic (2010). Applying Semantic Web to E-Tourism, Web Technologies: Concepts, Methodologies, Tools, and Applications (4 Volume) (pp. 1027-1049) 923. Stanislaw Osowski, Michal Kruk, Robert Koktysz, and Jaroslaw Kurek (2011). Image Processing for Localization and Parameterization of the Glandular Ducts of Colon in Inflammatory Bowel Diseases, Computational Modeling and Simulation of Intellect: Current State and Future Perspectives (pp. 1-24) 924. Dustin Baumgartner, Gursel Serpen, Comparative performance evaluation of global-local hybrid ensemble, International Journal of Hybrid Intelligent Systems, Volume 8, Number 2 / 2011, Pages 59-70 925. Nandita Tripathi, Michael Oakes, Stefan Wermter, Semantic subspace learning for text classification using hybrid intelligent techniques, International Journal of Hybrid Intelligent Systems, Volume 8, Number 2 / 2011, Pages 99-114. 926. Yu Qu, Hongye Su, Lichao Guo, Jian Chu, A novel SVM modeling approach for highly imbalanced and overlapping classification, Intelligent Data Analysis, Volume 15, Number 3 / 2011, Pages 319-341 927. Grinaldo Oliveira, Joberto Martins, Combinação de Expertise em Classificadores para Sistemas Autonômicos, SBRC 2011, Workshop on Autonomic Distributed Systems, 2011, pp. 31-34. 928. Debejyo Chakraborty, Narayan Kovvali, Bhavana Chakraborty, Antonia Papandreou-Suppappola and Aditi Chattopadhyay, Structural Damage Detection with Insufficient Data using Transfer Learning Techniques, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011, edited by Masayoshi Tomizuka, Chung-Bang Yun, Victor Giurgiutiu, Jerome P. Lynch, Proc. of SPIE Vol. 7981. 929. Miloš Božić, Miloš Stojanović, Zoran Stajić, Short-Term Load Forecasting Using Least Squares Support Vector Machines, INFOTEH-JAHORINA Vol. 10, Ref. D-11, p. 326-329, March 2011 930. Aurangzeb Khan, Baharum Baharudin, Khairullah Khan, Mining Customer Data For Decision Making Using New Hybrid Classification Algorithm, JATIT, 15/4/11, Vol. 27, pp. 54-61. 931. Francisco Cantu, Sebastian M. Saiegh, Fraudulent Democracy? An Analysis of Argentina's Infamous Decade using Supervised Machine Learning, TR, University of California, San Diego 932. Anurag Choubey, Ravindra Patel, J.L. Rana, A Survey of Efficient Algorithms and New Approach for Fast Discovery of Frequent Itemset for Association Rule Mining (DFIARM), International Journal of Soft Computing and Engineering (IJSCE), ISSN: 2231-2307, Volume-1, Issue-2, May 2011, pp. 62-67.

933. Maya Wardeh, Frans Coenen, Trevor Bench-Capon, and Adam Wyner, Multi-agent Based Classification Using Argumentation From Experience, Lecture Notes in Computer Science, 2011, Volume 6635, Advances in Knowledge Discovery and Data Mining, Pages 357-369 934. Alfatni, Meftah Salem; Shariff, Abdul Rashid Mohamed; Abdullah, Mohd Zaid; Ben Saeed, Osama Mohamed; and Ceesay, Omar M. (2011) "Recent Methods and Techniques of External Grading Systems for Agricultural Crops Quality Inspection - Review," International Journal of Food Engineering: Vol. 7: Iss. 3, Article 10. 935. Dnyanesh Rajpathak, Rahul Chougule and Pulak Bandyopadhyay, A domain-specific decision support system for knowledge discovery using association and text mining, Knowledge and Information Systems, Online First™, 18 May 2011 936. Yamna, Ettarres; Mellouli, Khaled; Automatic classification of students for C2i certification exam, 2011 IEEE Global Engineering Education Conference (EDUCON), Page(s): 1001 – 1006 937. Paulius Danenas, Gintauta Garsva, SVM and XBRL based Decision Support System for Credit Risk Evalutation, IT 2011, pp. 190-198. 938. Aleksandar Jevtic, Swarm Intelligence: Novel Tools For Optimization, Feature Extraction, And Multi-Agent System Modeling, Tesis Doctoral, Departamento de Senales, Sistemas y Radiocomunicaciones Escuela Tecnica Superior de Ingenieros de Telecomunicacion, Universidad Politecnica de Madrid, 2011 939. Huu Giao Nguyen, R. Fablet, J.-M. Boucher. "Visual textures as realizations of multivariate log-Gaussian Cox processes." IEEE Conf. on Computer Vision and Pattern Recognition, CVPR'2011, Colorado Springs, US, June 2011, pp.2945–2952 940. Jiaxun Wang and Chunping Li. 2011. An iterative voting method based on word density for text classification. In Proceedings of the International Conference on Web Intelligence, Mining and Semantics (WIMS '11). ACM, New York, NY, USA, Article 53 , 5 pages. 941. Correa, Christian, Procesamiento De Imágenes Para La Identificación De Uva Y Follaje Usando Técnicas De Clasificación No Supervisadas, IV Congreso de Estudiantes Universitarios de Ciencia, Tecnología e Ingeniería Agronómica, pp. 53-56 942. Gao, Yi; Chen, Chun; Bu, Jiajun; Dong, Wei; He, Daojing; ICAD: Indirect correlation based anomaly detection in dynamic WSNs, 2011 IEEE Wireless Communications and Networking Conference (WCNC), 2011 , Page(s): 647 – 652 943. Jonathan J. Davis, Data Preprocessing For Anomaly Based Network Intrusion Detection: A Review, Computers & Security, 30 (6-7), pp. 353-375 944. Andrea Carugati,Cecilia Rossignoli, Emerging Themes in Information Systems and Organization Studies, Springer, 2011 945. Ira Goldstein, Automated Classification Of The Narrative Of Medical Reports Using Natural Language Processing, Doctor of Philosophy, University at Albany, College of Computing and Information, Department of Informatics, 2011 946. Normi Salwana Binti Miswan, Modeling Of Climatological Data Using Data Mining Technique, Degree of Bachelor of Engineering (Electrical), Universiti Teknologi Malaysia, 2011 947. Mathew, A., Alex, A.T., Asari, V.K., A manifold based methodology for color constancy, 2010 Proceedings - Applied Imagery Pattern Recognition Workshop, art. no. 5759707 948. Qiu, D., Litton, J., Yang, C., Vector intelligent sensor for human motion detection and navigation, Institute of Navigation - International Technical Meeting 2011, ITM 2011 (2), pp. 670-677

949. Minna Kallio and Barbro Back, The Self-Organizing Map in Selecting Companies for Tax Audit, 2011, Emerging Themes in Information Systems and Organization Studies, Part 6, Pages 347-358 950. David Martinez and Timothy Baldwin, Word sense disambiguation for event trigger word detection in biomedicine, BMC Bioinformatics, 2011, Volume 12, Supplement 2, S4 951. Kemal Polat, Application of Attribute Weighting Method Based on Clustering Centers to Discrimination of Linearly Non-Separable Medical Datasets, Journal of Medical Systems, Online First™, 24 May 2011 952. Ashraf Elazounia; Osama A. Salemb, Progress monitoring of construction projects using pattern recognition techniques, Construction Management and Economics, Volume 29, Issue 4, 2011, Pages 355 – 370 953. J. Alamelu Mangai, V. Santhosh Kumar, A Novel Approach for Web Page Classification using Optimum features, IJCSNS International Journal of Computer Science and Network Security, VOL.11 No.5, May 2011, pp. 252-257. 954. Marghny H. Mohamed and Hosam E. Refaat, A Fast Parallel Association Rule Mining Algorithm Based on The Probability of Frequent Itemsets, IJCSNS International Journal of Computer Science and Network Security, VOL.11 No.5, May 2011, pp. 152-162. 955. Constanta-Nicoleta Bodea, Vasile Bodea, Ion Gh. Rosca, Radu Mogos, and Maria-Iuliana Dascalu, Student Performance in E-Learning Environments: An Empirical Analysis through Data Mining, (2011). Student Satisfaction and Learning Outcomes in E-Learning: An Introduction to Empirical Research (pp. 149-194) 956. Paulo Lopez-Meyer, Oleksandr Makeyev, Stephanie Schuckers, Edward L. Melanson, Michael R. Neuman og Edward Sazonov, Påvisning av matinntak fra svelge sekvenser av tilsyn og ukontrollert metoder, Ann BioMed Eng. 2010 august, 38 (8) :2766-74. 957. Paulo Lopez-Meyer, Oleksandr Makeyev, Stephanie Schuckers, Edward L. Melanson, Michael R. Neuman og Edward Sazonov, Påvisning av matinntak fra svelge sekvenser av tilsyn og ukontrollert metoder, Ann BioMed Eng. 2010 august, 38 (8) :2766-74. 958. Bradly Alicea, Naturally Supervised Learning in Manipulable Technologies, Department of Animal Science, Michigan State University 959. K.Vanitha and R.Santhi, Using Hash Based Apriori Algorithm To Reduce The Candidate 2- Itemsets For Mining Association Rule, Volume 2, No. 5, April 2011, Journal of Global Research in Computer Science, pp.78-80 960. Changhee Jung, Silvius Rus, Brian P. Railing, Nathan Clark, and Santosh Pande. 2011. Brainy: effective selection of data structures. SIGPLAN Not. 46, 6 (June 2011), 86-97. 961. Kebin Wang and Ying Tan, A New Collaborative Filtering Recommendation Approach Based on Naïve Bayesian Method, Advances in Swarm Intelligence, Lecture Notes in Computer Science, 2011, Volume 6729/2011, 218-227, DOI: 10.1007/978-3-642-21524-7_26 962. Shumei Zhang, Behaviour Analysis and Reminder Deliveryin an Assisted Environment, Doctor of Philosophy at the University of Ulster, Jordanstown, 2011. 963. Amelia Zafra, Cristóbal Romero, Sebastián Ventura, Multiple Instance Learning for Classifying Students in Learning Management Systems, Expert Systems with Applications, In Press, Accepted Manuscript, Available online 12 June 2011 964. Lawrence Mitchell, Terence M. Sloan, Muriel Mewissen, Peter Ghazal, Thorsten Forster, Michal Piotrowski, and Arthur S. Trew. 2011. A parallel random

forest classifier for R. In Proceedings of the second international workshop on Emerging computational methods for the life sciences (ECMLS '11). ACM, New York, NY, USA, 1-6. 965. Jean P. Martins, Danilo V. Vargas, Complex Networks: Information Theory and Collective Dynamics, University of Sao Paulo, Institute of Mathematics and Computer Sciences, Sao Carlos, 13566-590, SP, Brazil 966. Ivanov, D., Hamby, S.E., Stenson, P.D., Phillips, A.D., Kehrer-Sawatzki, H., Cooper, D.N., Chuzhanova, N. 2011 Comparative analysis of germline and somatic microlesion mutational spectra in 17 human tumor suppressor genes, Human Mutation 32 (6), pp. 620-632 967. Nandita Tripathi, Michael Oakes and Stefan Wermter, Hybrid Parallel Classifiers for Semantic Subspace Learning, ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2011, Lecture Notes in Computer Science, 2011, Volume 6792/2011, 64-70. 968. Md.Abdur RAHMAN, Azril HANIZ, Santosh KHADKA, Iswandi, Mutsawashe GAHADZA, Minseok KIM, and Jun-ichi TAKADA, Design and Implementation of Emergency Radio Information System, TECHNICAL REPORT OF IEICE, THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS 969. Benjamin Thirey and Christopher Eastburg, Increasing Accuracy Through Class Detection: Ensemble Creation Using Optimized Binary Knn Classifiers, International Journal of Computer Science, Engineering and Applications (IJCSEA) Vol.1, No.2, April 2011, pp. 1-11. 970. Gao, Yi; Chen, Chun; Bu, Jiajun; Dong, Wei; He, Daojing; ICAD: Indirect correlation based anomaly detection in dynamic WSNs, 2011 IEEE Wireless Communications and Networking Conference (WCNC), 28-31 March 2011, page(s): 647 – 652 971. Rahul Chougule, Dnyanesh Rajpathak, and Pulak Bandyopadhyay, An integrated framework for effective service and repair in the automotive domain: An application of association mining and case-based-reasoning, Computers in Industry, 62 (7), pp. 742-754 972. Z.X. Guo, W.K. Wong, SYS Leung, Min Li, Applications of Artificial Intelligence in the Apparel Industry: A Review, Textile Research Journal 81 (18) , pp. 1871-1892 973. Yang, Y.Y., Mahfouf, M., Panoutsos, G., Development of a parsimonious GA-NN ensemble model with a case study for Charpy impact energy prediction , 2011 Advances in Engineering Software 42 (7), pp. 435-443 974. Ireneusz Czarnowski, Distributed Learning with Data Reduction, Lecture Notes in Computer Science, 2011, Volume 6660, Transactions on Computational Collective Intelligence IV, Pages 3-121 975. Ireneusz Czarnowski, Distributed Learning with Data Reduction, Lecture Notes in Computer Science, 2011, Volume 6660, Transactions on Computational Collective Intelligence IV, Pages 3-121 976. Al Jarullah, Asma A.; Decision tree discovery for the diagnosis of type II diabetes, 2011 International Conference on Innovations in Information Technology (IIT), 25-27 April 2011, page(s): 303 – 307 977. Songxia, Ma; Xiaoping, Jing; Evaluation of overseas students' performance in Chinese courses using statistical learning, 2011 International Conference on E -Business and E -Government (ICEE), 2011 , Page(s): 1 – 4

978. David Martinez, Timothy Baldwin, Word sense disambiguation for event trigger word detection in biomedicine, BMC Bioinformatics 2011, 12(Suppl 2):S4doi:10.1186/1471-2105-12-S2-S4 979. Jara Uitto, Vision based indoor positioning in a retail environment, Helsinki May 31, 2011, Master's thesis, UNIVERSITY OF HELSINKI, Department of Computer Science 980. Marco Cortesi, Prostate-cancer diagnosis by non-invasive prostatic Zinc mapping using X-RayFluorescence (XRF), Doctor of Philosophy, Weizmann Institute of Science 981. Singh, Anima, Risk stratification of cardiovascular patients using a novel classification tree induction algorithm with non-symmetric entropy measures, Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science, 2011 982. Rajeswari, K.; Vaithiyanathan, V., Heart disease diagnosis: an efficient decision support system based on fuzzy logic and genetic algorithm, International Journal of Decision Sciences, Risk and Management, Volume 3, Numbers 1-2, June 2011 , pp. 81-97(17) 983. PENG ZhiMing, JING WenFeng & XU ZongBen, Sparse classification based on L1/2 regularized kernel logistic regression, SCIENCE CHINA, January 2010 Vol. 53 No. 1: 1-18 984. Huixian Tang; Liangrong Song; Ontologies in financial services: Design and applications, 2011 International Conference on Business Management and Electronic Information (BMEI), Volume: 5, Publication Year: 2011 , Page(s): 364 – 367 985. Ahmad Ammari, Vania Dimitrova, Dimoklis Despotakis, Semantically Enriched Machine Learning Approach to Filter YouTube Comments for Socially Augmented User Models, International Workshop at UMAP 2011 on Augmenting User Models with Real World Experiences to Enhance Personalization and Adaptation, Lecture Notes in Computer Science, 2012, Volume 7138, Pages 71-85 986. Olmo, J. L.; Romero, J. R.; Ventura, S.; Using Ant Programming Guided by Grammar for Building Rule-Based Classifiers, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 41 (6), art. no. 5936743, pp. 1585-1599 987. Matthias W. Uhl. 2011. Explaining U.S. consumer behavior with news sentiment. ACM Trans. Manage. Inf. Syst. 2, 2, Article 9 (July 2011), 18 pages. DOI=10.1145/1985347.1985350 988. Tiago Silva and Inês Dutra, T-SPPA: Trended Statistical PreProcessing Algorithm, Communications in Computer and Information Science, 1, Volume 188, Digital Information Processing and Communications, Part 3, Pages 118-131 989. Kurt Weissgerber, Gary B. Lamont, Brett J. Borghetti, and Gilbert L. Peterson, Determining Solution Space Characteristics for Real-Time Strategy Games and Characterizing Winning Strategies, International Journal of Computer Games Technology, Volume 2011 (2011), Article ID 834026, 17 pages, doi:10.1155/2011/834026 990. MARCUS GRY, Global expression analysis of human cells and tissues using antibodies,Royal Institute of Technology School of Biotechnology, Stockholm 2008 991. Vasile Bodea, Gheorghe Sabau, E-Learning – A Solution For Project Management Excellence, KM2009 992. Yanxin Zhang, Maximum Entropy Modeling For Distributed Classification, Regression And Interaction Discovery, PhD thesis, The Pennsylvania State University, The Graduate School, August 2009

993. Kevin Leung Kan Hing, An Investigation Of Artificial Immune Systems And Variable Selection Techniques For Credit Scoring, Doctor of Philosophy, School of Business Information Technology, Business Portfolio, RMIT University, December 2008 994. Narodom Areekul, Chuleerat Jaruskulchai, Detecting TAX evasion by using DM techniques, The 7th National Conference on Computing and Information Technology, NCCIT2011, pp. 570-575. 995. Narodom Areekul, Chuleerat Jaruskulchai, Detecting TAX evasion by using DM techniques, The 7th National Conference on Computing and Information Technology, NCCIT2011, pp. 570-575. 996. Christoff Fourie, A One Class Object Based System For Sparse Geographic Feature Identification, Master of Science at Stellenbosch University, 2011. 997. Alfonso Mendoza-Velázquez, Pilar Gómez-Gil, Neural Networks, Ordered Probit Models and Multiple Discriminants Evaluating Risk Rating Forecasts of Local Governments in Mexico, Universidad Popular Autonoma del Estado de Puebla, Centro de Investigacion e Inteligencia Economica 998. D. Kabakchieva, K. Stefanova, V. Kisimov, Analyzing University Data for Determining Student Profiles and Predicting Performance, 4th International Conference on Educational Data Mining (EDM 2011) 999. C. Márquez-Vera, C. Romero and S. Ventura, Predicting School Failure Using Data Mining, 4th International Conference on Educational Data Mining (EDM 2011) 1000. Jana Kludas, Information Fusion for Multimedia: exploiting Feature Interactions for Semantic Feature Selection and Construction, These No 4282, UNIVERSIT´E DE GENEVE, 2011. 1001. Jaroslav Vazny, Virtual Observatory and Data Mining, Master's Thesis, Masaryk University, 2011 1002. Richard Fredlund, A Bayesian expected cost reduction approach to active learning, University of Exeter as a thesis for the degree of Doctor of Philosophy in Computer Science, April 2011. 1003. Julián Sanz Cuenca, RECONOCIMIENTO DE OBJETOS PORDESCRIPTORES DE FORMA, Universitat de Barcelona, 2008. 1004. Duygu ŞAHİN, Testbed for Association Rule Mining Algorithms, Bachelor of Science in Computer Engineering, İzmir Institute of Technology, 2011 1005. Serkan Altuntas, Hasan Selim, Facility Layout Using Weighted Association Rule-Based Data Mining Algorithms: Evaluation with Simulation Original Research Article, Expert Systems with Applications, 39 (1), pp. 3-13 1006. Harish Katti, Human Visual Perception, a study and applications to understanding Images and Videos, Thesis, Computing school at NUS, Singapore, 2011 1007. Zuhtuogullari, K.; Allahverdi, N.; An improved itemset generation approach for mining medical databases, 2011 International Symposium on Innovations in Intelligent Systems and Applications (INISTA), Publication Year: 2011 , Page(s): 39 – 43 1008. Igor Santos, Carlos Laorden, Borja Sanz, Pablo G. Bringas, Enhanced Topic-based Vector Space Model for Semantics-aware Spam Filtering, Expert Systems with Applications, Volume 39, Issue 1, January 2012, Pages 437-444. 1009. Igor Santos, Carlos Laorden, Borja Sanz, Pablo G. Bringas, Enhanced Topic-based Vector Space Model for Semantics-aware Spam Filtering, Expert Systems with Applications, In Press,.

1010. Franco Alessandro Ubaudi, Assessing a feature's trustworthiness and two approaches to feature selection, University of Technology Sydney (UTS), Doctor of Philosophy in Computing Sciences, 2011 1011. Silvio VALENTI, Dealing with P2P traffic in modern networks: measurement, identification and control, docteur de l’Ecole Nationale Supérieure des Télécommunications, Paris 1012. Boi M. Milo i drugi: Srednjorono predvianje elektrinog optereenja primenom metoda podravajuih vektora, ELEKTROPRIVREDA, GODINA LXIV, BROJ 1, 2011, 48–54 1013. S. Anupama Kumar, and Dr. Vijayalakshmi M.N, Efficiency of Decision Trees in Predicting Student’s Academic Performance, D.C. Wyld, et al. (Eds): CCSEA 2011, CS & IT 02, pp. 335–343, 2011 1014. Dua, Sumeet; Saini, Sheetal; Singh, Harpreet, Temporal Pattern Mining for Multivariate Time Series Classification, Journal of Medical Imaging and Health Informatics, Volume 1, Number 2, June 2011 , pp. 164-169. 1015. Schluter, Tim; Conrad, Stefan; About the analysis of time series with temporal association rule mining, 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 11-15 April 2011, page(s): 325 – 332. 1016. R.Rathinasabapathy, R.Bhaskaran, Analysis of Complexities for finding efficient Association Rule Mining Algorithms, International Journal of Internet Computing, Volume-I, Issue-1, 2011, pp. 29-34. 1017. Corinna Klein, Information Extraction from Text for Improving Research on Small Molecules and Histone Modifications, PhD, University of Bonn, 2011 1018. Aktan, S., Application of machine learning algorithms for business failure prediction, 2011, Investment Management and Financial Innovations 8 (2), pp. 52-65 1019. Nguyen, G.P., Biurrun Manresa, J.A., Curatolo, M., Andersen, O.K., Data mining techniques for analyzing demographic factors in relation to chronic pain patients, 2011 IFMBE Proceedings 34, pp. 226-229 1020. Chih-Hung Hsieh, A Generalized Gaussian Components based Density Estimation Algorithm and its Applications, Thesis, University of Taiwan. 1021. Chi-man Vong, Pak-kin Wong, Weng-fai Ip, Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis, Engineering Applications of Artificial Intelligence, 24 (7), pp. 1281-1294 1022. Czarnetzki, S., Kerner, S., Szcypior, Learning from demonstration: Automatic generation of extended behavior networks for autonomous robots from an expert's demonstration, ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence 1, pp. 394-400 1023. Benjamin Auffarth, Agustín Gutierrez-Galvez and Santiago Marco, Statistical analysis of coding for molecular properties in the olfactory bulb, Frontiers in Systems Neuroscience, Vol 5, 2011 1024. Rajest Bordawekar, Bob Blainey, Chidanand Apte, Michael McRoberts, A Survey of Business Analytics Models and Algorithms, IBM research report, 7/2011. 1025. Fuyuan Cao, Jiye Liang, Deyu Li, Liang Bai, Chuangyin Dang, A Dissimilarity Measure for the k-Modes Clustering Algorithm, Knowledge-Based Systems, 26, 2012, pp. 120-127 1026. A. Cecchinato, M. Penasa, M. De Marchi, L. Gallo, G. Bittante and P. Carnier, Genetic parameters of coagulation properties, milk yield, quality, and acidity estimated using coagulating and noncoagulating milk information in Brown Swiss and

Holstein-Friesian cows, Journal of Dairy Science, Volume 94, Issue 8, August 2011, Pages 4205-4213 1027. Washington Okori and Joseph Obua, Machine Learning Classification Technique for Famine Prediction, Proceedings of the World Congress on Engineering 2011 Vol II, WCE 2011, July 6 - 8, 2011, London, U.K, pp. 991-996 1028. Jan Vacl, A Suspected Annotation Detection, Bachelor Thesis, Charles University in Prague, 2011 1029. Zuriani Mustaffa, Yuhanis Yusof, A Comparison of Normalization Techiques in Predicting Dengue Outbreak, 2010 International Conference on Business and Economics Research vol.1 (2011), IACSIT Press, Kuala Lumpur, Malaysia 1030. David L. Hancock, A Multi Agent System for Flow-Based Intrusion Detection Using Reputation and Evolutionary Computation, Department of The Air Force, Air University, 2011 1031. Gao Xuedong, Gu Shujuan, Wu Sen, DSUB: A Noise-immune Method to Measure Concept Drift, Advances in Information Sciences and Service Sciences, Volume3, Number6, July 2011, 311-319. 1032. M. Bagavandas, G. Manimannan, Identification of consistent and distinct writing styles: a clustering-based stylistic analysis, Language Forum / July-Dec, 2009 1033. Erene Gernaria Sihombing, Penerapan Algoritma Klasifikasi C4.5 Untuk Penentuan, Thesis, Jakarta 2011 1034. Qiusha Zhu, Lin Lin, Mei-Ling Shyu, and Shu-Ching Chen, "Effective Supervised Discretization for Classification based on Correlation Maximization," The 12th IEEE International Conference on Information Reuse and Integration (IRI 2011), Las Vegas, Nevada, USA, pp. 390-395, August 3-5, 2011. 1035. Stanislaw Osowski, Michal Kruk, Robert Koktysz, Jaroslaw Kurek, Image Processing for Localization and Parameterization of the Glandular Ducts of Colon in Inflammatory Bowel Diseases, DOI: 10.4018/978-1-60960-551-3.ch001, Copyright © 2011, IGI Global 1036. Jiatang Dong and Cen Li. 2011. A comparative study of the classification techniques in isolated Mandarin syllable tone recognition. In Proceedings of the 49th Annual Southeast Regional Conference (ACM-SE '11). ACM, New York, NY, USA, 263-269. 1037. Shanta Rangaswamy, and Shobha G., Online Indexing For Databases Using Query Workloads, International Journal of Computer Science and Communication, Vol. 2, No. 2, July-December 2011, pp. 427-433 1038. Zou, Guixi; Kesidis, George; Miller, David J.; A Flow Classifier with Tamper-Resistant Features and an Evaluation of Its Portability to New Domains, IEEE Journal on Selected Areas in Communications, Issue Date: August 2011, Volume: 29 Issue:7, On page(s): 1449 – 1460 1039. Indraneel Chandrasen Dabhade, Multivalued Subsets Under Information Theory, Master of Science Industrial Engineering, Graduate School of Clemson University 1040. Indraneel Chandrasen Dabhade, Multivalued Subsets Under Information Theory, Master of Science Industrial Engineering, Graduate School of Clemson University 1041. Jinchang Ren, ANN vs. SVM: Which one performs better in classification of MCCs in mammogram imaging, Knowledge-Based Systems, 26, 2012, pp. 144-153

1042. Eric Y.T. Juan,J.H. Chang,C.H. Li,B.Y. Chen, Methods for Protein Subcellular Localization Prediction, International Conference Complex, Intelligent and Software Intensive Systems, Date:July 2011, pp. 553-558 1043. M. Muthu Rama Krishnan, Chandan Chakraborty, Ranjan Rashmi Paul and Ajoy K. Ra, Hybrid segmentation, characterization and classification of basal cell nuclei from histopathological images of normal oral mucosa and oral submucous fibrosis, Expert Systems with Applications, In Press, Available online 3 August 2011. 1044. Fei Zhu, Jiong Yang and Yong Zhou, Enriched Format Text Categorization Using A Component Similarity Approach, JOURNAL OF SOFTWARE, VOL. 6, NO. 9, SEPTEMBER 2011, pp. 1713-1720. 1045. van Dijk, S.G.; Polani, D., Grounding subgoals in information transitions, IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning (ADPRL), pp. 105-111. 1046. Kludas, Jana; Marchand-Maillet, Stephane, Effective multimodal information fusion by structure learning, 2011 Proceedings of the 14th International Conference on Information Fusion (FUSION), pp. 1-8. 1047. V.Ramesh, P.Parkavi, P.Yasodha, Performance Analysis of Data Mining Techniques for Placement Chance Prediction, International Journal of Scientific & Engineering Research Volume 2, Issue 8, Auguest-2011, pp. 1-6. 1048. Bruhn, Paul; Weinschenk, Jeffrey; Supervised learning in CINets, Proceedings of the 14th International Conference on Information Fusion (FUSION), 2011, Issue Date: 5-8 July 2011, On page(s): 1 – 8 1049. heng-Yi Luo, A Research on Resolving Pronunciation Ambiguity of Polyphonic Characters by using Data Mining Techniques in an On-Line Hakka Text-to-Speech System, Thesis, Institute of Networking and Multimedia, 2011 1050. Veenu Mangat, Natural Intelligence Based Automatic Knowledge Discovery for Medical Practitioners, Lecture Notes in Electrical Engineering, 1, Volume 103, Intelligent Automation and Systems Engineering, Pages 53-64 1051. Haoting Liu,Hongwei Zhu,Fenggang Xu,Sugang Wang, Intensity Classification of the Image Quality Metric Series Using AdaBoost and Co-training Method, International Symposium on Computer Science and Society, Issue Date:July 2011, pp. 134-137 1052. Jésus Antonio Motta, Laurence Capus, Nicole Tourigny, Insertion of Ontological Knowledge to Improve Automatic Summarization Extraction Methods, Journal of Intelligent Learning Systems and Applications, Vol.3 No.3, August 2011 1053. Tobias Ippisch, Telematics Data in Motor Insurance: Creating Value by Understanding the Impact of Accidents on Vehicle Use, DISSERTATION of the University of St. Gallen, Graduate School of Business Administration, Economics, Law, and Social Sciences (HSG), Doctor Oeconomiae 1054. Alessandro Zani, A Statistical Model for the Electricity Spanish Market, Máster En Gestión Técnico Y Económica En El Sector Eléctrico, Madrid, September 2008 1055. Alessandro Zani, A Statistical Model for the Electricity Spanish Market, Máster En Gestión Técnico Y Económica En El Sector Eléctrico, Madrid, September 2008 1056. Kriger, C., Tzoneva, R., A neural network model for control of wastewater treatment processes, 2007 IFAC Proceedings Volumes (IFAC-PapersOnline) 7 (PART 1), pp. 981-986 1057. Debajyoti Karmaker, Hafizur Rahman, Mohammad Saiedur Rahaman, Md. Kamrul Bari, A Fine Grained Technique for Viral Marketing based on Social

Network: A Machine Learning Approach, International Journal of Science and Technology, Volume 1 No. 2, August 2011, pp. 89-95 1058. Igor Santos, Felix Brezo, Xabier Ugarte-Pedrero, Pablo G. Bringas, Opcode Sequences as Representation of Executables for Data-mining-based Unknown Malware Detection, Information Sciences, In Press, Accepted Manuscript, Available online 26 August 2011 1059. Igor Santos, Felix Brezo, Xabier Ugarte-Pedrero, Pablo G. Bringas, Opcode Sequences as Representation of Executables for Data-mining-based Unknown Malware Detection, Information Sciences, In Press, Accepted Manuscript, Available online 26 August 2011 1060. Panizzoni, Giulio (2011) Predizione della trasfusione massiva in pazienti affetti da lesioni traumatiche gravi. [Magistrali biennali], 12 Luglio 2011 1061. Thomas Boulay, Ali Mohammad-Djafari, Nicolas Gac, Julien Lagoutte, Algorithmes de Reconnaissance Non Coopérative de Cibles et implémentation sur GPU, "GRETSI, Bordeaux : France (2011)" 1062. Harsha Gurulingappa, Juliane Fluck, Martin Hofmann-Apitius, and Luca Toldo, Identification of Adverse Drug Event Assertive Sentences in Medical Case Reports, The First International Workshop on Knowledge Discovery in Health Care and Medicine (KDHCM 2011), September 9, 2011, Athens, Greece, ECML/PKDD 2011 1063. Johnson, Sandra; Shanmugam, Valli, Effective feature set construction for SVM-based hot method prediction and optimisation, International Journal of Computational Science and Engineering, Volume 6, Number 3, August 2011 , pp. 192-205(14) 1064. Wen-Shiung Chen, Lili Hsieh, Wei-Chih Tang, Logitboost-SO Learning Algorithm for Human Iris Recognition, ICCGI 2011: The Sixth International Multi-Conference on Computing in the Global Information Technology, pp. 165-170. 1065. César Manuel Vargas Benítez, Chidambaram Chidambaram, Fernanda Hembecker and Heitor Silvério Lopes, A Comparative Study of Machine Learning and Evolutionary Computation Approaches for Protein Secondary Structure Classification, pp. 239-258, ISBN 978-953-307-629-4, publishing date: September 2011 1066. Min Li, ShaoBo Den, Shengzhong Feng, Jianping Fan, An effective discertization based on Class-Attribute Coherence Maximization, Pattern Recognition Letters, In Press, Available online 3 September 2011 1067. Denis Ferraretti, Evelina Lamma, Giacomo Gamberoni, Michele Febo and Raffaele Di Cuia, Integrating Clustering and Classification Techniques: A Case Study for Reservoir Facies Prediction, Studies in Computational Intelligence, 2011, Volume 369, Emerging Intelligent Technologies in Industry, Pages 21-34 1068. Abhijit Raorane, & R.V.Kulkarni, Data Mining Techniques: A Source For Consumer Behavior Analysis, International Journal of Database Management Systems ( IJDMS ), Vol.3, No.3, August 2011DOI: 10.5121/ijdms.2011.3304 45 1069. Yun-fei Jiang, Chun-yan Yu and Nan Shen, A Diffused and Emerging Clustering Algorithm, Lecture Notes in Electrical Engineering, 1, Volume 98, Electrical Engineering and Control, Pages 593-598 1070. Yen-Yi Wu, Face Age Classification using Boosting, National Digital Library of Theses and Dissertations in Taiwan 1071. Yen-Yi Wu, Face Age Classification using Boosting, National Digital Library of Theses and Dissertations in Taiwan

1072. Kristen L. Pudenz, Daniel A. Lidar, Quantum adiabatic machine learning, arXiv:1109.0325v1 [quant-ph] 1 Sep 2011 1073. Wilhelmiina Hämäläinen and Mikko Vinni, Classifiers for Educational Data Mining, Handbook of Educational Data Mining, Edited by Cristóbal Romero, Sebastian Ventura, Mykola Pechenizkiy, and Ryan S.J.d. Baker, CRC Press, 2010. 1074. Xu Dan-dan, Wang Yong, Cai Li-jun, ISMOTE algorithm for imbalanced data set, Journal of Computer Applications, Vol 31 (9), 2399-2401. 1075. B. Sanz, I. Santos, C. Laorden, X. Ugarte-Pedrero, and P.G. Bringas On the Automatic Categorisation of Android Applications. In Proceedings of the 9th IEEE Consumer Communications and Networking Conference(CCNC2012), Nevada (USA), 14-17 de Enero 2012, in press. 1076. B. Sanz, I. Santos, C. Laorden, X. Ugarte-Pedrero, and P.G. Bringas On the Automatic Categorisation of Android Applications. In Proceedings of the 9th IEEE Consumer Communications and Networking Conference(CCNC2012), Nevada (USA), 14-17 de Enero 2012, in press. 1077. Maria Koutina and Katia Lida Kermanidis, Predicting Postgraduate Students’ Performance Using Machine Learning Techniques, IFIP Advances in Information and Communication Technology, 2011, Volume 364, Artificial Intelligence Applications and Innovations, Pages 159-168 1078. Yang, Y. Y.; Mahfouf, M.; Panoutsos, G.; Zhang, Q.; Thornton, S.; Adaptive neural-fuzzy inference system for classification of rail quality data with bootstrapping-based over-sampling, 2011 IEEE International Conference on Fuzzy Systems (FUZZ), 27-30 June 2011, page(s): 2205 – 2212 1079. Shanab, Ahmad Abu; Khoshgoftaar, Taghi M.; Wald, Randall; Van Hulse, Jason; Comparison of approaches to alleviate problems with high-dimensional and class-imbalanced data, 2011 IEEE International Conference on Information Reuse and Integration (IRI), 3-5 Aug. 2011, page(s): 234 – 239 1080. An ontology-based model for personalized financial planning product design, 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 8-10 Aug. 2011, page(s): 117 – 120 1081. Denis Ferraretti, Evelina Lamma, Giacomo Gamberoni and Michele Febo, Clustering and Classification Techniques for Blind Predictions of Reservoir Facies, Lecture Notes in Computer Science, 2011, Volume 6934, AI*IA 2011: Artificial Intelligence Around Man and Beyond, Pages 348-359 1082. Danuta Zakrzewska, Building Context-Aware Group Recommendations in E-Learning Systems, Lecture Notes in Computer Science, 2011, Volume 6922, Computational Collective Intelligence. Technologies and Applications, Pages 132-141 1083. Tadeusz Lasota, Tomasz Łuczak and Bogdan Trawiński, Investigation of Random Subspace and Random Forest Methods Applied to Property Valuation Data, Lecture Notes in Computer Science, 2011, Volume 6922, Computational Collective Intelligence. Technologies and Applications, Pages 142-151 1084. Adrian Bilski, A Review of Artificial Intelligence Algorithms in Document Classification, International Journal of Electronics and Telecommunications, Volume 57, Number 3 / September 2011, pp. 263-270 1085. Xiao Fu, Yinzi Ren, Guiqiu Yang, Qing Pan, Shijin Gong, Li Li, Jing Yan, Gangmin Ning, A Computational Model for Heart Failure Stratification, CinC 2011, 18-21 September 2011. 1086. Bradly Alicea, Naturally Supervised Learning in Manipulable Technologies, Department of Animal Science, Michigan State University

1087. Chi-man Vong, Pak-kin Wong, and Weng-fai Ip. 2011. Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis. Eng. Appl. Artif. Intell. 24, 7 (October 2011), 1281-1294. 1088. Azmi, Muhammad Sufyian Bin Mohd; Paris, Ikmal Hisyam Bin Mohamad; Academic performance prediction based on voting technique, 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN), 27-29 May 2011 , page(s): 24 – 27 1089. Emmanuel Chazard, Automated detection of Adverse Drug Events by Data Mining of Electronic Health Records, PhD Thesis, UNIVERSITE LILLE NORD DE FRANCE 1090. Barnan Das, Diane J. Cook, Maureen Schmitter-Edgecombe and Adriana M. Seelye, PUCK: an automated prompting system for smart environments: toward achieving automated prompting—challenges involved, Personal and Ubiquitous Computing, In Press 1091. Robert Junges and Franziska Klugl, Modeling Agent Behavior Through Online Evolutionary and Reinforcement Learning, Proceedings of the Federated Conference on Computer Science and Information Systems pp. 643–650 1092. Evelina Fedorenko, Alfonso Nieto-Castañon, Nancy Kanwisher, Lexical and syntactic representations in the brain: An fMRI investigation with multi-voxel pattern analyses, Neuropsychologia, In Press, Available online 17 September 2011 1093. Hu, Dan; Yu, Xianchuan; Feng, Yuanfu; Reduced error specialization based on the information content of rule set, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 26-28 July 2011, pp. 1485 – 1489, China 1094. Perols, J., Financial statement fraud detection: An analysis of statistical and machine learning algorithms, 2011 Auditing 30 (2), pp. 19-50 1095. Jun Yin, Zhonghua Liu, Zhong Jin, Wankou Yang, Kernel sparse representation based classification, Neurocomputing 77 (1), pp. 120-128 1096. Frederik Hogenboom, Flavius Frasincar, Uzay Kaymak, and Franciska de Jong, An Overview of Event Extraction from Text, 10th International Semantic Web Conference, 2011, Germany. 1097. Kulczycki, P., Kowalski, P.A., Bayes classification of imprecise information of interval type, 2011, Control and Cybernetics 40 (1), pp. 101-123 1098. Adam, A., Shapiai, M.I., Ibrahim, Z., Khalid, M., Jau, L.W. 2011, Development of a hybrid Artificial Neural Network - Naive Bayes classifier for binary classification problem of imbalanced datasets, ICIC Express Letters 5 (9 A), pp. 3171-3175 1099. Adam, A., Shapiai, M.I., Ibrahim, Z., Khalid, M., Jau, L.W. 2011, Development of a hybrid Artificial Neural Network - Naive Bayes classifier for binary classification problem of imbalanced datasets, ICIC Express Letters 5 (9 A), pp. 3171-3175 1100. Adam, A., Shapiai, M.I., Ibrahim, Z., Khalid, M., Jau, L.W. 2011, Development of a hybrid Artificial Neural Network - Naive Bayes classifier for binary classification problem of imbalanced datasets, ICIC Express Letters 5 (9 A), pp. 3171-3175 1101. Qi, Q., Dong, J., Classification of video titles based on description ability, 2011 Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science) 39 (7), pp. 134-139

1102. Te-Kang Jan, Hsuan-Tien Lin, Hsin-Pai Chen, Tsung-Chen Chern, Chung-Yueh Huang, Bing-Cheng Wen, Chia-Wen Chung, Yung-Jui Li, Ya-Ching Chuang, Li-Li Li, Yu-Jiun Chan, Juen-Kai Wang,Yuh-Lin Wang, Chi-Hung Lin, Da-Wei Wang, Cost-Sensitive Classification on Pathogen Species of Bacterial Meningitis by Surface Enhanced Raman Scattering, BIBM 2011, pp. 390-393. 1103. Andrea Addis, Giuliano Armano and Eloisa Vargiu, Progressive Filtering on the Web: The Press Reviews Case Study, Studies in Computational Intelligence, 2011, Volume 375, Learning Structure and Schemas from Documents, Pages 143-163 1104. N. Ur-Rahman, J.A. Harding, Textual Data Mining for Industrial Knowledge Management and Text Classification: A Business Oriented Approach, Expert Systems with Applications, In Press, Available online 1 October 2011 1105. Neog, D.R., Raza, M.A., Rhee, F.C.-H., An interval type 2 fuzzy approach to multilevel image segmentation, 2011 IEEE International Conference on Fuzzy Systems, pp. 1164-1170. 1106. Peker, K., Oguz, C., A model of civil society dialogue on dairy business for implementation of milk standards, 2011 African Journal of Agricultural Research 6 (12), pp. 2749-2754 1107. Tahseen A. Al-Ramadin, Reduction Technique for Instance-based Learning Using Distributed Genetic Algorithms, International Journal of Grid and Distributed Computing, Vol. 4, No. 3, September, 2011, pp. 47-60. 1108. Guangzhi Qu, Hui Wu, Bucket Learning: Improving Model Quality through Enhancing Local Patterns, Knowledge-Based Systems 27 , pp. 51-59 1109. Laijian You, Construct a concept of cloud computing and data mining system with association rules and clustering analysis, Master thesis, Institute for Statistics, China. 1110. C. Correa Farias, A. Moya-González, E. Báguena Isiegas, A. Herrero Langreo, M. Paz Diago, J. Baluja, J. Tardáguila, C. Valero, P. Barreiro, Extracción de características de la cubierta vegetal del viñedo mediante imágenes RGB y RGIR obtenidas de forma dinámica, VI Congreso Iberico de Agrolngenieria, Potrugal, 2011. 1111. Stavros Valsamidis and Sotirios Kontogiannis, Ioannis Kazanidis, Alexandros Karakos, E-Learning Platform Usage Analysis, Interdisciplinary Journal of E-Learning and Learning Objects, Volume 7, 2011, pp. 185-204 1112. Stavros Valsamidis and Sotirios Kontogiannis, Ioannis Kazanidis, Alexandros Karakos, E-Learning Platform Usage Analysis, Interdisciplinary Journal of E-Learning and Learning Objects, Volume 7, 2011, pp. 185-204 1113. Dharminder Kumar, Deepak Bhardwaj, Rise of Data Mining: Current and Future Application Areas, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 5, No 1, September 2011, pp. 256-260. 1114. Efraın Mayhua-Lopez, Vanessa Gomez-Verdejo, and Anıbal R. Figueiras-Vidal, Real AdaBoost with Gate Controlled Fusion, Department of Signal Theory and Communications, Universidad Carlos III de Madrid. 1115. Shuo Wang, Xin Yao, "Relationships Between Diversity of Classification Ensembles and Single-Class Performance Measures," IEEE Transactions on Knowledge and Data Engineering, September 2011, pp. 15-22 1116. Pratibha Rani, and Vikram Pudi (2012). Classification of Biological Sequences, Pattern Discovery Using Sequence Data Mining: Applications and Studies (pp. 111-135) 1117. Constanta-Nicoleta Bodea (2012). Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications (pp. 285-312)

1118. Przemyslaw Kazienko, Piotr Doskocz, and Tomasz Kajdanowicz (2012). Customer Relationship Management and the Social and Semantic Web: Enabling Cliens Conexus (pp. 271-283) 1119. Zaidoun Alzoabi, Faek Diko, and Saiid Hanna (2012). Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications (pp. 223-239) 1120. Constanta-Nicoleta Bodea, Radu Mogos, and Maria-Iuliana Dascalu (2012). Virtual Community Building and the Information Society: Current and Future Directions (pp. 75-120) 1121. Pinar Senkul, Nilufer Onder, Soner Onder, Engin Maden, and Hui Meen Nyew (2012). Pattern Discovery Using Sequence Data Mining: Applications and Studies (pp. 212-236) 1122. Fanny Meunier, Sylvie De Cock, Gaëtanelle Gilquin, Magali Paquot, A Taste for Corpora: In honour of Sylviane Granger (Studies in Corpus Linguistics), 310 pages, Publisher: John Benjamins Publishing Company 1123. Fanny Meunier, Sylvie De Cock, Gaëtanelle Gilquin, Magali Paquot, A Taste for Corpora: In honour of Sylviane Granger (Studies in Corpus Linguistics), 310 pages, Publisher: John Benjamins Publishing Company 1124. Massimo Brescia, Stefano Cavuoti, Maurizio Paolillo, Giuseppe Longo, Thomas Puzia, The detection of globular clusters in galaxies as a data mining problem, Monthly Notices of the Royal Astronomical Society 421 (2) , pp. 1155-1165 1125. Lucas De Oliveira Arantes, Documentação Semântica No Apoio À Integração De Dados E Rastreabilidade, Universidade Federal Do Espírito Santo, Vitória, 2010 1126. Nguyen, Giang-Son; Gao, Xiaoying; Andreae, Peter; Phoneme Based Representation for Vietnamese Web Page Classification, 2011 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 , Page(s): 15 – 22 1127. Maalouf, Maher; Trafalis, Theodore, Rare events and imbalanced datasets: an overview, International Journal of Data Mining, Modelling and Management, Volume 3, Number 4, October 2011, pp. 375-388(14) 1128. David M Peixotto, Trace-Based Runtime Optimization for Haskell, PhD, 19 August 2011 1129. S. Anupama Kumar and Dr. Vijayalakshmi M.N, Implication Of Classification Techniques In Predicting Student’s Recital, International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol.1, No.5, September 2011, pp. 41-51. 1130. Bhagirathi Nayak, C. Nahak, Arun Kr. Misra, Forcasting Of Financial Markets - Application Of Fuzzy Association Rules, International Journal Of Research In Commerce, It & Management, Volume No. 1 (2011), Issue No. 5 (October) Issn 2231-5756, pp.1-8. 1131. Chen, Sisi; Measuring the correlation between variables based on the probability density function estimation, 2011 IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), 15-17 Sept. 2011, page(s): 144 – 148 1132. D. M. Shawky and A. F. Ali, A Feature Selection Method Using Misclassified Patterns, International Journal of Computer Theory and Engineering, Vol. 3, No. 5, October 2011, pp. 643-651. 1133. Peter Ekstrand Berg, Behavior-based Classification of Botnet Malware, Master of Science in Information Security, Department of Computer Science and Media Technology, Gjøvik University College, 2011

1134. Indra Devi, Efficient Fingerprint Recognition Through Improvement of Feature Level Clustering, Indexing and Matching Using Discrete Cosine Transform, TR, Indra Ganesan College of Engineering, Tiruchirappalli, India 1135. Washington Okori, Joseph Obua, Supervised Learning Algorithms For Famine Prediction, Applied Artificial Intelligence, Vol. 25, Iss. 9, 2011 1136. AR Garcia, MB Gerasmio, ML Tuastumban, Milfe Ababa, Editha Dimalen, BreCaDS: Towards a Breast: Towards a Breast: Towards a Breast Cancer Decision Support System Cancer Decision Support System, The Mindanao Forum, Vol. XXIII, No 1, 2010, pp. 43-51 1137. Francisco Calaça XAVIER, Cedric Luiz de CARVALHO, O uso da Inteligência Artificial no auxílio à tomada de decisões para alocação dinâmica de recursos, Technical Report - RT-INF_001-11 - Relatório Técnico, June - 2011 – Junho 1138. Diego Garcia-Saiz, Marta Zorrilla, Comparing classification methods for predicting distance students' performance, JMLR: Workshop and Conference Proceedings 17 (2011) 26-32 1139. Christian Correa, Constantino Valero, Pilar Barreiro, Maria P. Diago, and Javier Tardaguila, A Comparison of Fuzzy Clustering Algorithms Applied to Feature Extraction on Vineyard, Actas de CAEPIA '11 1140. Luís Marujo, Miguel Bugalho, João P. Neto, Anatole Gershman, Jaime Carbonell, Hourly Traffic Prediction of News Stories, CARS'11 Context-Aware Recommender Systems 2011 1141. Christian Micheloni, Asha Rani, Sanjeev Kumar, Gian Luca Foresti, A balanced neural tree for pattern classification, Neural Networks, Neural Networks 27 , pp. 81-90, 2012. 1142. Applying Business Intelligence Concepts to Medicaid Claim Fraud Detection, Conference for Information Systems Applied Research 2011 CONISAR Proceedings, Wilmington North Carolina, USA v4 n1836, pp. 1-12. 1143. Jeffrey Tweedale and Lakhmi Jain, Advances in Information Processing Paradigms, Studies in Computational Intelligence, 2012, Volume 376, Innovations in Intelligent Machines – 2, Pages 1-17 1144. Anduela Lile, Analyzing E-Learning Systems Using Educational Data Mining Techniques, ISSN 2039-2117, Mediterranean Journal of Social Sciences, Vol. 2, No. 3, September 2011, pp. 403-419. 1145. Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour, Combining Complementary Information Sources in the Dempster-Shafer Framework for Solving Classification Problems with Imperfect Labels, Knowledge-Based Systems 27 , pp. 92-102 1146. S.R.Mulik, S.G.Gulawani, Performance Comparison of Data Mining Tools in Mining Association Rules, IJRIME, Volume1 Issue3, ISSN: 2249- 1619, pp. 330-336 1147. Pratibha Rani, Vikram Pudi, Classification of Biological Sequences, DOI: 10.4018/978-1-61350-056-9.ch007, Copyright © 2012, IGI Global. 1148. G. Garg, Vijander Singh, Mudita Grover, Nidhi , J.R.P Gupta, Optimal Kernel Learning for EEG based Sleep Scoring System, Int J Biol Med Res. 2011; 2(4): 1220 – 1225 1149. Khalid Abu Al-Saud, Massudi Mahmuddin and Amr Mohamed, Wireless Body Area Sensor Networks Signal Processing and Communication Framework: Survey on Sensing, Communication Technologies, Delivery and Feedback, Journal of Computer Science 8 (1): 121-132, 2012, ISSN 1549-3636

1150. Laci Mary Barbosa Manhães, Sérgio Manuel Serra da Cruz, Raimundo J. Macário Costa, Jorge Zavaleta, Geraldo Zimbrão, Previsão de Estudantes com Risco de Evasão Utilizando Técnicas de Mineração de Dados, Programa de Engenharia de Sistemas e Computação, Anais do XXII SBIE - XVII WIE 1151. Stavros Valsamidis, Sotirios Kontogiannis, Alexandros Karakos, Ioannis Kazanidis, "A Combined Algorithm for LMS Usage Assessment," pci, pp.358-362, 2011 15th Panhellenic Conference on Informatics, 2011 1152. Anna Kasimati, Efpraxia Zamani, "Education and Learning in the Semantic Web," pci, pp.338-344, 2011 15th Panhellenic Conference on Informatics, 2011 1153. Roman Joseph Aquino, Joshua Rafael Battad, Charlene Frances Ngo, Gemilene Uy, Rhia Trogo, Merlin Suarez, "Towards Empathic Music Provision for Computer Users," kse, pp.245-251, 2011 Third International Conference on Knowledge and Systems Engineering, 2011, pp. 245-251 1154. Luca Canini, Sergio Benini and Riccardo Leonardi, Classifying cinematographic shot types, Multimedia Tools and Applications, Online First™, 2 November 2011 1155. Ralph L. Kodell, Chuanlei Zhang, Eric R. Siegel, Radhakrishnan Nagarajan, Selective voting in convex-hull ensembles improves classification accuracy, Artificial Intelligence in Medicine, In Press, Available online 6 November 2011 1156. Ghosh, Soumadip; Nag, Amitava; Biswas, Debasish; Singh, Jyoti Prakash; Biswas, Sushanta; Sarkar, Debasree; Sarkar, Partha Pratim; Weather Data Mining using Artificial Neural Network, 2011 IEEE Recent Advances in Intelligent Computational Systems (RAICS), Issue Date: 22-24 Sept. 2011, On page(s): 192 – 195 1157. Christian Correa Farias, Adolfo Moya-González, Eva Báguena Isiegas, Ana Herrero Langreo, María Paz Diago, Javier Baluja, Javier Tardáguila, Constantino Valero, Pilar Barreiro. EXTRACCIÓN DE CARACTERISTICAS DE LA CUBIERTA VEGETAL DEL VIÑEDO MEDIANTE IMÁGENES RGB Y RGIR OBTENIDAS DE FORMA DINÁMICA, VI Congreso Iberico, 5-7 September, 2011, pp. 1-10. 1158. Wilson Soto and Amparo Olaya–Benavides, A Genetic Algorithm for Discovery of Association Rules, JCC2011, 7-11/11/2011. 1159. Esteban Andres Hurtado Leon, An Adaptive Reading Tutor Using Markov Models To Develop Phonological Awareness, Santiago de Chile, Master of Science in Engineering, Pontificia Universidad Catolica De Chile, School Of Engineering, December 2008 1160. Mazni Omar, Sharifah-Lailee Syed-Abdullah and Naimah Mohd Hussin, Developing a Team Performance Prediction Model: A Rough Sets Approach, Communications in Computer and Information Science, 1, Volume 252, Informatics Engineering and Information Science, Part 5, Pages 691-705 1161. Tobias Alexander Große-Puppendahl, Alexander Marinc and Andreas Braun, Classification of User Postures with Capacitive Proximity Sensors in AAL-Environments, Lecture Notes in Computer Science, 2011, Volume 7040, Ambient Intelligence, Pages 314-323 1162. Stenudd, S., Using machine learning in the adaptive control of a smart environment, 2010 VTT Publications (751), pp. 1-82 1163. Watson-Haigh, N.S.; O Neill, C.J.; Kadarmideen, H.; Proximity loggers: data handling and classification for quality Control, IEEE Sensors Journal 12 (5), pp. 1611-1617

1164. Fabian Abel, Ahmad Ammari, Ilknur Celik, Vania Dimitrova, Claudia Hauff, Laura Hollink, Geert-Jan Houben , Dhaval Thakker, Immersive Reflective Experience-based Adaptive Learning, TR of FP7-ICT-2009.4.2: Technology-Enhanced Learning 1165. Chao Chen, Mei-Ling Shyu, and Shu-Ching Chen, "Data Management Support via Spectrum Perturbation-based Subspace Classification in Collaborative Environments," the 7th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2011), Orlando, Florida, USA, October 15-18, 2011 1166. PENG ZhiMing, XU Chen & JING WenFeng, Sparse Kernel Logistic Regression Based On L1/2 Regularization, SCIENCE CHINA, January 2011 Vol. 53 No. 1: 1-18 1167. Karel Dejaeger, Frank Goethals, Antonio Giangreco, Lapo Mola, Bart Baesens, Gaining insight into student satisfaction using comprehensible data mining techniques, European Journal of Operational Research, In Press, Available online 17 November 2011 1168. Ursani, A. A.; Kpalma, K.; Lelong, C. C. D.; Ronsin, J.; Fusion of Textural and Spectral Information for Tree Crop and Other Agricultural Cover Mapping With Very-High Resolution Satellite Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5 (1), 2012, Page(s): 225 - 235 1169. Yusof, Norazah; Mansur, Andi Besse Firdausiah; Othman, Mohd Shahizan; Ontology of moodle e-learning system for social network analysis, 2011 IEEE Conference on Open Systems (ICOS), 2011 , Page(s): 122 – 126 1170. Shamsudin, Hasrul Che; Adam, Asrul; Shapiai, Mohd Ibrahim; Basri, Mohd Ariffanan Mohd; Ibrahim, Zuwairie; Khalid, Marzuki; An Improved Two-Step Supervised Learning Artificial Neural Network for Imbalanced Dataset Problems, 2011 Third International Conference on Computational Intelligence, Modelling and Simulation (CIMSiM), 2011 , Page(s): 108 – 113 1171. Kabi G. Daghir, Semantic Document Clustering for Crime Investigation, Thesis in the Concordia Institute for Information Systems Engineering, Montréal, Québec, Canada, September 2011 1172. VijayakumarV, Nedunchezhian R., Mining Best-N Frequent Patterns in a Video Sequence, International Journal on Computer Science and Engineering (IJCSE), Vol. 3 No. 11 November 2011, pp. 3525-3533 1173. Nazir, M., Arfan Jaffer, M., Hussain, A., Mirza, A.M., Efficient gender classification using optimization of hybrid classifiers using genetic algorithm, 2011 International Journal of Innovative Computing, Information and Control 7 (12), pp. 7021-7032 1174. Taherkhani, A., Using decision tree classifiers in source code analysis to recognize algorithms: An experiment with sorting algorithms, 2011 Computer Journal 54 (11), pp. 1845-1860 1175. Leonardo Ornella, Gerardo Cervigni and Elizabeth Tapia, Applications of Machine Learning in Breeding for Stress Tolerance in Maize, 2012, Crop Stress and its Management: Perspectives and Strategies, Pages 163-192 1176. Alamiyan, F., Zamanifar, K., Ontology instance matching using distributional similarity measure, 2011 International Review on Computers and Software 6 (4), pp. 462-472. 1177. Zhai, Y., Yang, B., Zhou, F., Sui, H., Liu, L., An ensemble classifier model for classification of imbalanced datasets under the heterogeneous classifier fusion

environment, 2011 Gaojishu Tongxin/Chinese High Technology Letters 21 (10), pp. 1101-1106 1178. Sonja Fink Babič, Roberto Biloslavo, Corporate Sustainability Reporting: Opportunities And Challenges In A Post-Transition Country, Proceedings of the 12th Management International Conference Portorož, Slovenia, 23–26 November 2011, pp. 707-722 1179. Baker, P. C.; Mair, A. J.; Judd, M. D.; An automated classifier for asynchronous diagnosis of partial discharge defects, 2011 16th International Conference on Intelligent System Application to Power Systems (ISAP), Issue Date: 25-28 Sept. 2011, page(s): 1 – 6 1180. Ahuva Cern, Alexander Golbraikh, Aleck Sedykh, Alexander Tropsha, Yechezkel Barenholz, Amiram Goldblum, Quantitative structure – property relationship modeling of remote liposome loading of drugs, Journal of Controlled Release, 160 (2) , pp. 147-157 1181. V.F. Rodriguez-Galiano, B. Ghimire, J. Rogan, M. Chica-Olmo, J.P. Rigol-Sanchez, An assessment of the effectiveness of a random forest classifier for land-cover classification, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 67, January 2012, Pages 93-104 1182. Zuriani Mustaffa, Yuhanis Yusof, Optimizing LSSVM Using ABC For Non-Volatile Financial Prediction, Australian Journal of Basic and Applied Sciences, 5(11): 549-556, 2011 1183. Jayanthi. J, Suresh Joseph. K, Vaishnavi. J, Bankruptcy Prediction using SVM and Hybrid SVM Survey, International Journal of Computer Applications (0975 – 8887), Volume 34– No.7, November 2011, pp. 39-45 1184. Maintaining imbalance highly dependent medical data using dirichlet process data generation, 2011 Sixth International Conference on Digital Information Management (ICDIM), 26-28 Sept. 2011, page(s): 18 – 22, Melbourne, Australia 1185. Barnan Das, Narayanan C. Krishnan, Diane J. Cook, Automated Activity Interventions to Assist with Activities of Daily Living, IOS Press book on Agent-Based Approaches to Ambient Intelligence, 2012 1186. Tsung-Nan Tsai, Development of a soldering quality classifier system using a hybrid data mining approach, Expert Systems with Applications, In Press, Available online 8 December 2011 1187. Guohua Liang, Xingquan Zhu and Chengqi Zhang, An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution, Lecture Notes in Computer Science, 2011, Volume 7106, AI 2011: Advances in Artificial Intelligence, Pages 213-222 1188. C.V. KrishnaVeni, T. Sobha Rani, On the Classification of Imbalanced Datasets, IJCST Vol. 2, SP 1, December 2011, pp. 145-148. 1189. C.V. KrishnaVeni, T. Sobha Rani, On the Classification of Imbalanced Datasets, IJCST Vol. 2, SP 1, December 2011, pp. 145-148. 1190. Sai Prasad P.S.V.S. and Chillarige Raghavendra Rao, Extensions to IquickReduct, Lecture Notes in Computer Science, 2011, Volume 7080, Multi-disciplinary Trends in Artificial Intelligence, Pages 351-362 1191. Greicius, Michael D., Menon, Vinod, Methods of classifying cognitive states and traits and applications thereof, United States Patent Application 20110301431 Kind Code: A1

1192. MANISH KUMAR SINGHAL and VINEET RICHHARIYA, An Efficient Association Rule mining without Pre-assign weight, Int. J. of Electrical, Electronics and Computer Engineering (IJEECE) Vol 1(1): 8‐42(2011) 1193. Kathleen Pittman, Comparison of data mining techniques used to predict student retention, Nova Southeastern University. Information Systems 1194. Michael Makovoz, Utilization of semantic linking and visualization techniques to facilitate knowledge creation from textual software artifacts, Nova Southeastern University. Computer Information Systems (MCIS, DCIS). 1195. Pradeep Kumar, P. Radha Krishna, S. Bapi Raju, Pattern Discovery Using Sequence Data Mining: Applications and Studies, Igi Global, 30 Σεπ 2011 - 485 σελίδες 1196. Mai Shouman, Tim Turner, Rob Stocker, Using Decision Tree for Diagnosing Heart Disease Patients, Proceedings of the 9-th Australasian Data Mining Conference (AusDM'11), Ballarat, Australia, pp. 23-29. 1197. Md. Geaur Rahman and Md. Zahidul Islam, A Decision Tree-based Missing Value Imputation Technique for Data Pre-processing, Proceedings of the 9-th Australasian Data Mining Conference (AusDM'11), Ballarat, Australia, pp. 41-50 1198. Bruna Vieira Ventura, Aydano Pamponet Machado, Renato Ambrósio Jr., Guilherme Ribeiro, Luana Nogueira Araújo, Edileuza Leão, Evandro Costa, João Marcelo Lyra, Analysis of corneal biomechanical parameters for keratoconus diagnosis, Poster, Oftalmologia 2012 1199. Yan Zhiyong and Xu Congfu, Analyzing the Classifier using the Knowledge Hierarchy, ICAI'11, The 2011 International Conference on Artificial Intelligence 1200. Mladenov, M.I., Penchev, S.M., Dejanov, M.P., Mustafa, M.S., Quality assessment of corn grain sample using color image analysis, 2011 Sensing and Instrumentation for Food Quality and Safety 5 (3-4), pp. 111-127 1201. Prabha Verma and R. D. S. Yadava, Genetic Algorithm Assisted Enhancement in Pattern Recognition Efficiency of Radial Basis Neural Network, Lecture Notes in Computer Science, 2011, Volume 7076, Swarm, Evolutionary, and Memetic Computing, Pages 257-264 1202. Huaxiang Zhang and Zhichao Wang, A Normal Distribution-Based Over-Sampling Approach to Imbalanced Data Classification, Lecture Notes in Computer Science, 2011, Volume 7120, Advanced Data Mining and Applications, Pages 83-96 1203. Anima Singh, John V. Guttag, Learning Classification Trees for Personalized Cardiovascular Risk Stratification, NIPS 2011 workshop on "From Statistical Genetics to Predictive Models in Personalized Medicine (NIPS PM 2011)", Spain, December 16, 2011 1204. Bhaktikul, K., Anujit, R., To-im, J. Estimation of crop coefficient of corn (Kccorn) under climate change scenarios using data mining technique, EnvironmentAsia 5 (1), pp. 56-62 1205. Julie Callaert, Joris Grouwels and Bart Van Looy, Delineating the scientific footprint in technology: Identifying scientific publications within non-patent references, Scientometrics 91 (2) , pp. 383-398 1206. Rachid Benmokhtar and Benoit Huet, An ontology-based evidential framework for video indexing using high-level multimodal fusion, Multimedia Tools and Applications, Online First™, 23 December 2011 1207. Siraj, F., Yusoff, M.H., Haris, M.F., Salahuddin, M.A., Yusof, S.R.M., Hasan, i-SME: Loan decision support system using neuro-CBR approach , Md.R. 2011 Proceedings - CIMSim 2011: 3rd International Conference on Computational Intelligence, Modelling and Simulation , art. no. 6076338, pp. 91-96

1208. Ding-Kuo Huang, Chi-Feng Chen, Supervised learning method and quality capability of process used in an optical transmission inspection of on-line nonwoven basis weight, Optics Communications 285 (8) , pp. 2106-2112 1209. Binxuan SUN, Jiarong LUO, Shuangbao SHU, Nan YU, Approaches to Combine Techniques Used by Ensemble Learning Methods, Journal of Computational Information Systems 8: 1 (2012) 305–312 1210. Constanta-Nicoleta Bodea (2012). Business Intelligence in Higher Education: An Ontological Approach, Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications (27 pages). 1211. Przemyslaw Kazienko, Piotr Doskocz and Tomasz Kajdanowicz (2012). Social Network Analysis in Marketing, Customer Relationship Management and the Social and Semantic Web: Enabling Cliens Conexus (12 pages). 1212. Zaidoun Alzoabi, Faek Diko and Saiid Hanna (2012). Suggested Model for Business Intelligence in Higher Education, Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications (16 pages). 1213. Constanta-Nicoleta Bodea, Maria-Iuliana Dascalu and Adina Lipai (2012). Clustering of the Web Search Results in Educational Recommender Systems, Educational Recommender Systems and Technologies: Practices and Challenges (27 pages). 1214. Werner Kurschl, Mario Buchmayr, Barbara Franz and Margit Mayr (2012). Situation-Aware Ambient Assisted Living and Ambient Intelligence Data Integration for Efficient Eldercare, E-Healthcare Systems and Wireless Communications: Current and Future Challenges (33 pages). 1215. Constanta-Nicoleta Bodea, Radu Mogos and Maria-Iuliana Dascalu (2012). How e-Learning Experience Enhances the Social Presence in Community of Practice: An Empirical Analysis, Virtual Community Building and the Information Society: Current and Future Directions (45 pages). 1216. Pinar Senkul, Nilufer Onder, Soner Onder, Engin Maden and Hui Meen Nyew (2012). Discovering Patterns for Architecture Simulation by Using Sequence Mining, Pattern Discovery Using Sequence Data Mining: Applications and Studies (24 pages). 1217. Constanta-Nicoleta Bodea, Vasile Bodea and Radu Mogos (2012). Institutional Research Using Data Mining: A Case Study in Online Programs, Teaching Cases Collection (36 pages). 1218. Christopher L. Mutel, Stephan Pfister, and Stefanie Hellweg, GIS-Based Regionalized Life Cycle Assessment: How Big Is Small Enough? Methodology and Case Study of Electricity Generation, Environmental Science and Technology 46 (2) , pp. 1096-1103 1219. Khan, M.A., Mirza, A.M., A subspace ensemble based data dependent binary classification model, 2011 International Journal of Physical Sciences 6 (33), pp. 7540-7549 1220. Sk.Abdul Nabi, Shaik Rasool, Dr.P. Premchand, Detection and Extraction of Videos using Decision Trees, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 2, No. 12, 2011, pp. 147-151. 1221. Chen, Y.-S., Hsu, C.-S. and Siao, Y.-G. (2011), Linear regression-based delay-bounded routing protocols for VANETs. Wireless Communications and Mobile Computing. doi: 10.1002/wcm.1243 1222. Zlatko J. Kovačić, Predicting student success by mining enrolment data, Research in Higher Education Journal

1223. Shaobo Huang, Predictive Modeling and Analysis of Student Academic Performance in an Engineering Dynamics Course, Utah State University 1224. Ashraf, Mohammad; Le, Kim; Huang, Xu; Iterative weighted k-NN for constructing missing feature values in Wisconsin breast cancer dataset, 2011 3rd International Conference on Data Mining and Intelligent Information Technology Applications (ICMiA), pp. 23 – 27 1225. Saadi Ahmad Kamaruddin and Ibrahim Shogar, Artificial Neural Network and Its Islamic Relevance, Revelation and Science, Vol. 01, No.03 (1433H/2011) 138-148 1226. Mr. Ravindra Gupta, Prateek Gupta, Fast Processing of Web Usage Mining with Customized Web Log Pre-processing and modified Frequent Pattern Tree, International Journal of Computer Science & Communication Networks,Vol 1(3), 277-279 1227. Adams, Hans-peter, Hinzmann, Bernd, Mayr, Tobias, Rosenthal, André, Method and kits for diagnosing colorectal cancer, European Patent Application EP2388336 Kind Code: A1 1228. Hong-ning Li, Jie Feng, Wei-ping Yang, Xiang-sheng Wu, Ze-dong Li, Wei Liu, Spectrum-based method for quantitatively detecting diseases on cucumber leaf, CORD Conference Proceedings, pp. 1971- 1974, 10.1109/CISP.2011.6100651 1229. Paredes, S., Rocha, T., De Carvalho, P., Henriques, J., Rasteiro, D., Morals, J., Ferreira, J., Mendes, M. 2011, Fusion of risk assessment models with application to coronary artery disease patients, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS , pp. 872-875 1230. Fan Xue, C. Y. Chan, W. H. Ip and C. F. Cheung, A learning-based variable assignment weighting scheme for heuristic and exact searching in Euclidean traveling salesman problems, NETNOMICS, Online First™, 4 January 2012 1231. Mutalib, Sofianita; Azman, Nor Aina; Abdul-Rahman, Shuzlina; Predicting patients survival using supervised techniques, 2011 11th International Conference on Hybrid Intelligent Systems (HIS), Date: 5-8 Dec. 2011, 616 – 620 1232. Khoat Than, Tu-Bao Ho, A geometric interpretation of Bayesian classification methods, TR, Japan Advanced Institute of Science and Technology 1233. Casey Bennett, The Interaction of Entropy-Based Discretization and Sample Size: An Empirical Study, arXiv:1201.1450, 2012 1234. Adam, Asrul; Chew, Lim Chun; Shapiai, Mohd Ibrahim; Jau, Lee Wen; Ibrahim, Zuwairie; Khalid, Marzuki; A Hybrid Artificial Neural Network-Naive Bayes for solving imbalanced dataset problems in semiconductor manufacturing test process, 2011 11th International Conference on Hybrid Intelligent Systems (HIS), Date: 5-8 Dec. 2011, page(s): 133 – 138 1235. Ali, Rozniza; Hussain, Amir; Bron, James E.; Shinn, Andrew P.; Multi-stage classification of Gyrodactylus species using machine learning and feature selection techniques, 2011 11th International Conference on Intelligent Systems Design and Applications (ISDA), Date: 22-24 Nov. 2011, page(s): 457 – 462 1236. Kang Zhao, Segmentation and Classification of TB with AdaBoost, MSc thesis, Electrical Engineering of the Eindhoven University, 2011 1237. Te-Kang Jan,Hsuan-Tien Lin,Hsin-Pai Chen,Tsung-Chen, Chern,Chung-Yueh Huang,Bing-Cheng Wen,Chia-Wen Chung,Yung-Jui, Li,Ya-Ching Chuang,Li-Li Li,Yu-Jiun Chan,Juen-Kai Wang,Yuh-Lin, Wang,Chi-Hung Lin,Da-Wei Wang, Cost-Sensitive Classification on Pathogen Species of Bacterial Meningitis by Surface Enhanced Raman Scattering, IEEE International Conference on Bioinformatics and Biomedicine, Date:November 2011, pp. 390-393

1238. Hong-Jun Yoon,Ching-Chung Li,Christhunesa Christudass,Robert Veltri,Jonathan I. Epstein,Zhen Zhang, Cardinal Multiridgelet-based Prostate Cancer Histological Image Classification for Gleason Grading, IEEE International Conference on Bioinformatics and Biomedicine, Date:November 2011, pp. 315-320 1239. Martín López-Nores,Yolanda Blanco-FernÂndez,José J. Pazos-Arias,Jorge García-Duque,Manuela I. Martín-Vicente, Enhancing Recommender Systems with Access to Electronic Health Records and Groups of Interest in Social Networks, International IEEE Conference on Signal-Image Technologies and Internet-Based System, Date:December 2011, pp. 105-110 1240. Joseph King-Fung Pun, Improving Credit Card Fraud Detection using a Meta-Learning Strategy, Master of Applied Science, Department of Chemical Engineering and Applied Chemistry, University of Toronto, 2011 1241. Tripathi, N., Oakes, M., Wermter, S. Hybrid classifiers for improved semantic subspace learning of news documents. International Conference on Hybrid Intelligent Systems (HIS), Malacca, Malaysia, pp. 28-33, 2011 1242. Qiong Liu and Ying Wu, Supervised Learning, 2012, Encyclopedia of the Sciences of Learning, Part 19, Pages 3243-3245 1243. R.J. Kuo, Y.J. Syu, Zhen-Yao Chen, F.C. Tien, Integration of Particle Swarm Optimization and Genetic Algorithm for Dynamic Clustering, Information Sciences, Volume 195, 15 July 2012, Pages 124-140 1244. Rizauddin Saian,Ku Ruhana Ku-Mahamud, Hybrid Ant Colony Optimization and Simulated Annealing for Rule Induction, UKSIM European Symposium on Computer Modeling and Simulation, November 2011, pp. 70-75 1245. Thibaud Raby, Frédéric Ravaut, Utilisation d’ontologies dans une application médicale décisionnelle, SMS 2011 : Symposium Mobilité et Santé : Innovations, Usages, Perspectives 1246. HUANG Li-jin, SHI Jun, ZHONG Jin, Data Dimension Reduction Based on Kernel Entropy Component Analysis, Computer Engineering, Vol.38 No.2 1247. Anthony Michael King, The effect of temperature on biological control of water hyacinth, Eichhornia crassipes (Pontederiaceae) in South Africa, MSc thesis, Johannesburg, 2011 1248. Dundas, J., Law of connectivity in machine learning, 2010, International Journal of Simulation: Systems, Science and Technology, 11 (6) , pp. 22-32 1249. M. Perez-Ortiz, C. Hervas-Martnez, L. Garcia-Hernandez, L. Salas-Morera, A. Arauzo-Azofra, Tecnicas de clasificacion ordinal aplicadas a un problema de distribucion en planta, MAEB'2012 1250. Zhao Juan, Wang Mingchun, Liu Kun, Wang Can, Discretization Based on Positive Domain and Information Entropy, 2011 Seventh International Conference on Computational Intelligence and Security, Sanya, Hainan China, December 03-December 04, ISBN: 978-0-7695-4584-4 1251. Badhiye S. S., Dr. Chatur P. N., Wakode B. V., Temperature and Humidity Data Analysis for Future Value Prediction using Clustering Technique: An Approach, International Journal of Emerging Technology and Advanced Engineering, Volume 2, Issue 1, January 2012), pp. 88-91 1252. Badhiye S. S., Dr. Chatur P. N., Wakode B. V., Temperature and Humidity Data Analysis for Future Value Prediction using Clustering Technique: An Approach, International Journal of Emerging Technology and Advanced Engineering, Volume 2, Issue 1, January 2012), pp. 88-91 1253. M.B. Waghmare, Dr. P. N. Chatur, Temperature and Humidity Analysis using Data Logger of Data Acquisition System: An Approach, International Journal of

Emerging Technology and Advanced Engineering, Volume 2, Issue 1, January 2012), pp. 102-106. 1254. M.B. Waghmare, Dr. P. N. Chatur, Temperature and Humidity Analysis using Data Logger of Data Acquisition System: An Approach, International Journal of Emerging Technology and Advanced Engineering, Volume 2, Issue 1, January 2012), pp. 102-106. 1255. Jakkrit TeCho, Cholwich Nattee, Thanaruk Theeramunkong, Boosting-based ensemble learning with penalty profiles for automatic Thai unknown word recognition, Computers & Mathematics with Applications, Volume 63 Issue 6 1256. Jakkrit TeCho, Cholwich Nattee, Thanaruk Theeramunkong, Boosting-based ensemble learning with penalty profiles for automatic Thai unknown word recognition, Computers & Mathematics with Applications, In Press, Available online 30 January 2012 1257. Jakkrit TeCho, Cholwich Nattee, Thanaruk Theeramunkong, Boosting-based ensemble learning with penalty profiles for automatic Thai unknown word recognition, Computers & Mathematics with Applications, In Press, Available online 30 January 2012 1258. Jakkrit TeCho, Cholwich Nattee, Thanaruk Theeramunkong, Boosting-based ensemble learning with penalty profiles for automatic Thai unknown word recognition, Computers & Mathematics with Applications, In Press, Available online 30 January 2012 1259. Ravindra Gupta, Prateek Gupta, Application Oriented Web Usage Mining with Customized Web Log Preprocessing & Frequent Pattern Tree, International Journal of Engineering Research and Applications (IJERA), ISSN: 2248-9622, Vol. 2, Issue 1,Jan-Feb 2012, pp.596-598 1260. Ahmad Khan, M. Arfan Jaffar and Tae-Sun Choi, SOM and fuzzy based color image segmentation, Multimedia Tools and Applications, DOI: 10.1007/s11042-012-1003-6 1261. Michael Siering, ""Boom" or "Ruin"--Does It Make a Difference? Using Text Mining and Sentiment Analysis to Support Intraday Investment Decisions," hicss, pp.1050-1059, 2012 45th Hawaii International Conference on System Sciences, 2012 1262. Dinesh R. Pai, Kenneth D. Lawrence, Ronald K. Klimberg, Sheila M. Lawrence, Experimental comparison of parametric, non-parametric, and hybrid multigroup classification, Expert Systems with Applications, In Press, Available online 4 February 2012 1263. Gui-Fu Lu, Jian Zou, Yong Wang, Incremental learning of complete linear discriminant analysis for face recognition, Knowledge-Based Systems 31 , 2012, pp. 19-27 1264. Tao Guo and Guiyang Li, Improved Tri-training with Unlabeled Data, Advances in Intelligent and Soft Computing, 2012, Volume 115, Software Engineering and Knowledge Engineering: Theory and Practice, Pages 139-147 1265. Jarek Krajewskia, Sebastian Schniedera, David Sommerb, Anton Batlinerc, Björn Schullerd, Applying multiple classifiers and non-linear dynamics features for detecting sleepiness from speech, Neurocomputing, Available online 31 December 2011 1266. Halaby, A.; Awad, M.; Khanna, R.; Guided Search Space Genetic Programming for identifying energy aware microarchitectural designs, 2010 International Conference on Energy Aware Computing (ICEAC), 16-18 Dec. 2010, page(s): 1 – 3, Location: Cairo

1267. Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald, "Impact of Noise and Data Sampling on Stability of Feature Selection," icmla, vol. 1, 10th International Conference on Machine Learning and Applications and Workshops, 2011, pp.172-177, 2011 1268. Sonja Fink Babiè, Roberto Biloslavo, Trajnostno poroèanje podjetij: priložnosti in izzivi, Organizacija, letnik 45 Razprave, januar-februar 2012 1269. E. Quero, J. L. Perez-Benedito, M. J. García-Martínez, P. Segarra Catasús, Efficient Management Of The Continuous Evaluation Systems. Integration Of The Personal Desktop With Moodle, ARBOR Ciencia, Pensamiento y Cultura, Vol. 187 - Extra 3 - diciembre (2011) 201-206 ISSN: 0210-1963, doi: 10.3989/arbor.2011.Extra-3n3145 1270. Richard Hewitt, Evaluation of Strategic Software Investments For The Canadian Cabinet Industry, Msc Thesis, The University Of British Columbia (Vancouver), December 2011 1271. Swati Jaiswal, Neeraj Gupta, Hina Shrivastava, Enhancing the features of Intrusion Detection System by using machine learning approaches, International Journal of Scientific and Research Publications, Volume 2, Issue 2, February 2012, pp. 166- 170. 1272. Matthias W. Uhl, Measuring Media Sentiment – Essays on Its Impact on the Economy and the Financial Markets, KOF Swiss Economic Institute, ETH Zurich 1273. Liu Dedong, Zhu Lei, Zhang Juan, Liang Jinyan, Select the Optimal Ecological Bank-Protection Technique for Plain-Area Channel Using AHP, Journal of Convergence Information Technology(JCIT), Volume7, Number1, January 2012, pp. 214-221. 1274. M.A.H. Farquad, Indranil Bose, Preprocessing unbalanced data using support vector machine, Decision Support Systems, In Press, Accepted Manuscript, Available online 14 February 2012 1275. Tarik Veli Mumcu, Ibrahim Aliskan, Kayhan Gulez and Gurkan Tuna, Histogram Based Color Object Classification by Multi-class Support Vector Machine, Lecture Notes in Computer Science, 2012, Volume 6838, Advanced Intelligent Computing, Pages 218-225 1276. Tarik Veli Mumcu, Ibrahim Aliskan, Kayhan Gulez and Gurkan Tuna, Histogram Based Color Object Classification by Multi-class Support Vector Machine, Lecture Notes in Computer Science, 2012, Volume 6838, Advanced Intelligent Computing, Pages 218-225 1277. Denis Ferraretti, Giacomo Gamberoni, Evelina Lamma, Unsupervised and Supervised Learning in cascade for Petroleum Geology, Expert Systems with Applications, In Press, Accepted Manuscript, Available online 19 February 2012 1278. Raorane A.A., Kulkarni R.V. and Jitkar B.D., Association Rule – Extracting Knowledge Using Market Basket Analysis, Research Journal of Recent Sciences, ISSN 2277-2502, Vol. 1(2), 19-27, Feb. (2012) 1279. R. Kalaichelvi Chandrahasan, Angeline Christobel Y, Usha Rani Sridhar, Arockiam L, An Empirical Comparison of Boosting and Bagging Algorithms, (IJCSIS) International Journal of Computer Science and Information Security,Vol. 9, No. 11, November 2011 1280. L.Mohan, Dr.T.Venu Gopal, B. Ranjitha, Discovering Usage Patterns from Web Data Using Web Usage Mining, International Journal of Electronics Communication and Computer Engineering, Volume 3, Issue (1) NCRTCST, ISSN 2249 –071X

1281. Shalini, D. V. S.; Shashi, M.; Sowjanya, A. M.; , "Mining frequent patterns of stock data using hybrid clustering," 2011 Annual IEEE India Conference (INDICON), pp.1-4, 16-18 Dec. 2011 1282. XU Dan-dan, CAI Li-jun, WANG Yong, Improved Over-sampling Algorithm of Minority Class Sample, Computer Engineering, Vol.38 No.4, February 2012, pp. 67-69. 1283. Pedro Latorre Carmona, Jose Martınez Sotoca and Filiberto Pla, Filter-Type Variable Selection Based on Information Measures for Regression Tasks, Entropy 2012, 14, 323-343; doi:10.3390/e14020323 1284. Ahmed Hmaidan BaniMustafa, Nigel W. Hardy, A Strategy for Selecting Data Mining Techniques in Metabolomic, Plant Metabolomics : Methods and Protocols, Series: Methods in Molecular Biology, Volume: 860, Page Range: 317-333 | DOI: 10.1007/978-1-61779-594-7_1 1285. S.N. Omkar, Rithu Leena John, B.M. Giridhar, K.P. Yeshavanta, Nikita Choudhry, Crop Classification Using Gene Expressionprogramming Technique, Department of Aerospace Engineering, Indian Institute of Science , Bangalore, India 1286. Ahmad Ammari, Vania Dimitrova and Dimoklis Despotakis, Identifying Relevant YouTube Comments to Derive Socially Augmented User Models: A Semantically Enriched Machine Learning Approach, Lecture Notes in Computer Science, 2012, Volume 7138, Advances in User Modeling, Pages 71-85 1287. Ni, H., Wang, W., Pang, C., Yu, J., Classifying judging states from fMRI data of visual recognition task, 2011, 1st International Workshop on Complexity and Data Mining, IWCDM 2011 , pp. 47-50 1288. Alifard, A., Shadgar, B., Osareh, A., An experimental observation-based ontology evolution framework, 2011, International Review on Computers and Software 6 (5) , pp. 827-833 1289. Nayak, B., Prasad, S., A study of association rule data mining approaches and its current research directives on large databases, 2011, International Review on Computers and Software 6 (5) , pp. 774-783 1290. Mauro Garofalo, GPU Computing for Machine Learning Algorithms, Corso di Studi in Ingegneria Informatica, Napoli Federico II. 1291. Neshatian, K.; Zhang, M.; Andreae, P.; , "A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming," IEEE Transactions on Evolutionary Computation, in press, doi: 10.1109/TEVC.2011.2166158 1292. Ammar, Reda A.; Sallam, Al sayed A. H.; Sarhan, Amany M.; Ragab, Hebat-Allah M.; , "Achieving the workload balance of the clusters," 2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp.086-092, 14-17 Dec. 2011 1293. Badhiye S. S., Wakode B. V., Chatur P. N., Analysis of Temperature and Humidity Data for Future value prediction, International Journal of Computer Science and Information Technologies, Vol. 3 (1) , 2012, 3012 – 3014 1294. Badhiye S. S., Wakode B. V., Chatur P. N., Analysis of Temperature and Humidity Data for Future value prediction, International Journal of Computer Science and Information Technologies, Vol. 3 (1) , 2012, 3012 – 3014 1295. Anuj Sharma and Prabin Kumar Panigrahi. Article: A Review of Financial Accounting Fraud Detection based on Data Mining Techniques. International Journal of Computer Applications 39(1):37-47, February 2012.

1296. Marcin Czajkowski, Marek Kretowski, An Evolutionary Algorithm for Global Induction of Regression and Model Trees, Int. J. Data Mining, Modelling and Management, In Press 1297. JianJiao Chen, Anping Song, Wu Zhang, Hybrid K-harmonic Clustering Approach for High Dimensional Gene Expression Data, Journal of Convergence Information Technology(JCIT), Volume7, Number3, February 2012, 39-49. 1298. Jasjeet Rathore, Muhammad Azam, Saroj Koul, Climate Trend Analysis and Global Warming, Seventh AIMS International Conference on Management, December 20-23, 2009, 622-628. 1299. Raseeda Hamzah, Feature extraction and classification of Cardiotocogram signal to detect fetal condition, Msc Thesis, University Malaya, 2010 1300. กฤตยาภรณ คณสข, วรญ วงษเสร, Classification of Hydroponics System Case Study: Deep Flow Technique and Nutrient Film Technique, CIT 2012 1301. Nandita Tripathi, Michael Oakes and Stefan Wermter, A Fast Subspace Text Categorization Method Using Parallel Classifiers, Lecture Notes in Computer Science, 2012, Volume 7182, Computational Linguistics and Intelligent Text Processing, Pages 132-143 1302. Cantú, F., Saiegh, S.M., Fraudulent Democracy? An analysis of Argentina's Infamous Decade using supervised machine learning, 2011, Political Analysis 19 (4) , pp. 409-433 1303. Youssef Bassil, Neural Network Model for Path-Planning of Robotic Rover Systems, International Journal of Science and Technology, Volume 2 No.2, February 2012, pp. 94-100. 1304. Dustin Baumgartner, Gursel Serpen, A design heuristic for hybrid classification ensembles in machine learning, Intelligent Data Analysis, Volume 16, Number 2 / 2012, Pages 233-246. 1305. Guangcai Zhang, Aiguo Xu and Guo Lu, General Index and Its Application in MD Simulations, Molecular Interactions, pp. 361-400 1306. C. Vinothini and M. Kalimuthu, A Dynamic Memory Adaptive Approach to Mine Frequent Pattern in Large Scale Databases, Bonfring International Journal of Software Engineering and Soft Computing, Volume: 2 | Issue: Special Issue 1, Pages: 01-05 1307. Sushama Rana, Wajid Ali, Gulista Khan, Investiture of Decision Tree Able to Handle- The Categorical and Numerical, International Journal of Computer Information Systems, Vol. 3, No. 2, 2011, pp. 43-48. 1308. Azucena Medina Vázquez, Discretización De Datos Colposcópicos Usando Cómputo Inspirado En La Naturaleza, Maestra en Computación Aplicada, Xalapa, Veracruz, México Febrero 10, 2012 1309. Nandlal Shukla, Satish K. Singh, Secure XML Data Mining Using XSLT, Xquery and RBAC Model, International Journal of Electronics, Communication & Soft Computing Science and Engineering (IJECSCSE), Volume 1, Issue 1, pp. 6-12. 1310. Yu ChuanShuai, Xu Kejia, Zeng Li, Supervised Classification Based On Labeled Kernel PCA, Energy Procedia, Volume 13, 2011, Pages 3507-3512 1311. Kartik Nathan, A Framework for Measurement Anomaly Detection in Sensor Networks, Degree of Master of Science in Computer Science, ROCHESTER INSTITUTE OF TECHNOLOGY, 2009 1312. P. A. Gutiérrez, M. Pérez-Ortiz, F. Fernández-Navarro, J. Sánchez-Monedero and C. Hervás-Martínez, An Experimental Study of Different Ordinal Regression

Methods and Measures, Lecture Notes in Computer Science, 2012, Volume 7209, Hybrid Artificial Intelligent Systems, Pages 296-307 1313. Tadeusz Lasota, Zbigniew Telec, Bogdan Trawiński and Grzegorz Trawiński, Investigation of Rotation Forest Ensemble Method Using Genetic Fuzzy Systems for a Regression Problem, Lecture Notes in Computer Science, 2012, Volume 7196, Intelligent Information and Database Systems, Pages 393-402 1314. Nilima Patil, Rekha Lathi, Application of Data mining algorithms for Customer Classification, International Conference on Advances in Computing and Management – 2012, pp. 14-16. 1315. A. S. Galathiya, A. P. Ganatra and C. K. Bhensdadia, Improved Decision Tree Induction Algorithm with Feature Selection, Cross Validation, Model Complexity and Reduced Error Pruning, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 3 (2) , 2012,3427-3431 1316. Vo, Thi Ngoc Chau; Nguyen, Hua Phung; A Knowledge-Driven Educational Decision Support System, 2012 IEEE RIVF International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), Page(s): 1 – 6 1317. Ogunde, A.O., Folorunso, O., Sodiya, A.S., Oguntuase, J.A., Towards an adaptive multi-agent architecture for association rule mining in distributed databases, (2011) 3rd IEEE International Conference on Adaptive Science and Technology, ICAST 2011, pp. 31-36. 1318. Ivancevic, V., Celikovic, M., Lukovic, I., Analysing student spatial deployment in a computer laboratory, (2011) EDM 2011 - Proceedings of the 4th International Conference on Educational Data Mining, pp. 271-275. 1319. Girisha Garg, Vijander Singh, J. R. P. Gupta and A. P. MittalWrapper based wavelet feature optimization for EEG signals, Biomedical Engineering Letters, 2012, Volume 2, Number 1, Pages 24-37 1320. Borfecchia, F., Pollino, M., de Cecco, L., Lugari, A., Martini, S., la Porta, L., Ristoratore, E., Pascale, C., Active and passive remote sensing for supporting the evaluation of the urban seismic vulnerability | [Tecniche di telerilevamento attivo e passivo a supporto della stima della vulnerability à sismica in aree urbane], 2011, Italian Journal of Remote Sensing / Rivista Italiana di Telerilevamento 42 (3) , pp. 129-141 1321. Leanndra Copeland, Dana Edberg, Anna K. Panorska, Jeanne Wendel, Applying Business Intelligence Concepts to Medicaid Claim Fraud Detection, Journal of Information Systems Applied Research (JISAR), 5(1) January 2012, pp. 51-61 1322. M Afsha r Alam, Sapna Jain, Ranjit Biswas, Exposition and Execution of a Scaled Aprori in Multidimensional Dataset, ARPN Journal of Systems and Software, VOL. 2, NO. 1, January 2012, pp. 27-36 1323. Sjoerd van der Spoel, Outcome and variable prediction, for discrete processes Master Thesis, Business Information Technology, Enschede, January 2012 1324. V.F. Rodriguez-Galiano, An assessment of the effectiveness of a random forest classifier for land-cover classification, PhD thesis, University of Granada, 2011 1325. Singh S., Jokhan A., Sharma B. and Lal S., An Innovative Approach Of Progressive Feedback Via Artificial Neural Networks, Journal of Machine Learning Technologies, ISSN: 2229-3981 & ISSN: 2229-399X, Volume 3, Issue 1, 2012, pp. 64-70 1326. Dawei Wang, Luoshi Zhang, Zhenlong Yuan, Yibo Xue and Yingfei Dong, Application Behavior Characterization (ABC) System for Fast and Accurate LargeScale Traffic Classification, Technical Report, Tsinghua University, 2012

1327. Chen, L.-F., Guo, G.-D., Multi-representatives learning algorithm for nearest neighbor classification, 2011, Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence 24 (6) , pp. 882-888 1328. Ivan Kitanovski, Katarina Trojacanec, Ivica Dimitrovski and Suzana Loskovska, Modality Classification Using Texture Features, Advances in Intelligent and Soft Computing, 2012, Volume 150, ICT Innovations 2011, Pages 189-198 1329. Jianhua Chea, Weimin Lina, Yong Yua, Wei Yaob, Optimized Hypergraph Clustering-based Network Security Log Mining, Physics Procedia, Volume 24, Part A, 2012, Pages 762–768 1330. Karel Dejaeger, Thomas Verbraken, Bart Baesens, "Towards Comprehensible Software Fault Prediction Models Using Bayesian Network Classifiers," IEEE Transactions on Software Engineering, 20 March 2012. 1331. Florian Niedermann, Sylvia Radeschütz, Bernhard Mitschang, Deep Business Optimization: A Platform for Automated Process Optimization, INFORMATIK 2010 business process and service science - Proceedings of ISSS and BPSC, pp. 168-180. 1332. Qiwei He, Bernard P. Veldkamp, Theo de Vries, Screening for posttraumatic stress disorder using verbal features in self narratives: A text mining approach, Psychiatry Research, In Press, Corrected Proof, Available online 29 March 2012 1333. S Preetha and V Radha. Enhanced Outlier Detection Method using Association Rule Mining Technique. International Journal of Computer Applications 42(7):1-, March 2012. Published by Foundation of Computer Science, New York, USA 1334. J.Suguna, M. Arul Selvi, Ensemble Fuzzy Clustering for Mixed Numeric and Categorical Data, International Journal of Computer Applications (0975 – 8887), Volume 42– No.3, March 2012, pp. 19-23 1335. Milan Vukićević, Sonja Išljamović, Miloš Jovanović, Boris Delibašić, Milija Suknović, Using Neural Networks For Prediction Of Students' Success, 2nd International Conference on Information Society Technology, YUINFO & ICIST 2012, pp. 680-684. 1336. Gianmarco Tardivo, Antonio Berti, A Dynamic Method for Gap Filling in Daily Temperature Datasets, Journal of Applied Meteorology and Climatology 2012 ; doi: http://dx.doi.org/10.1175/JAMC-D-11-0117.1 1337. Abdullah Saad Almalaise Alghamdi, Rules Generation from ERP Database: A Successful Implementation of Data Mining, IJCSNS International Journal of Computer Science and Network Security, VOL.12 No.3, March 2012, pp. 21-29. 1338. Md. Abdur Rahman, A Data Mining Framework for Automatic Online Customer Lead Generation, Msc Thesis, Dalhousie University, Halifax, Nova Scotia, March 2012 1339. Md. Abdur Rahman, A Data Mining Framework for Automatic Online Customer Lead Generation, Msc Thesis, Dalhousie University, Halifax, Nova Scotia, March 2012 1340. Michael Faron and Goutam Chakraborty, Easily Add Significance Testing to your Market Basket Analysis in SAS® Enterprise Miner™, SAS Global Forum 2012, Paper 204-2012 1341. Mota NB, Vasconcelos NAP, Lemos N, Pieretti AC, Kinouchi O, et al. (2012) Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis. PLoS ONE 7(4): e34928. doi:10.1371/journal.pone.0034928 1342. Camilo Valderrama, Gonzalo Ulloa Villegas, Spectral analysis of physiological parameters for consumers' emotion detection, Sistemas & Telematica, Vol 10, No 20 (2012)

1343. Muhammad Atif Tahir, Josef Kittler, Fei Yan, Inverse Random Under Sampling for class imbalance problem and its application to multi-label classification, Pattern Recognition, Volume 45 Issue 10, October, 2012, Pages 3738-3750 1344. Ludovic Jean-Louis, Approches supervisees et faiblement supervisees pour l'extraction d' evenements complexes et le peuplement de bases de connaissances, docteur en Sciences de l'Universite de Paris 11 - Paris Sud, Decembre 2011 1345. Mittal, Sangeeta, A review of some Bayesian Belief Network structure learning algorithms, 8th International Conference on Information, Communications and Signal Processing (ICICS) 2011, 13-16 Dec. 2011 1346. Sandeep Singh Rawat and Lakshmi Rajamani, Discovering Rare Association Rules Using Probability Apriori in Grid Environments, Advances in Intelligent and Soft Computing, 2012, Volume 131, Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, Pages 527-539 1347. Li Xiang-wei, Qi Yian-fang, A Data Preprocessing Algorithm for Classification Model Based On Rough Sets, Physics Procedia, Volume 25, 2012, Pages 2025–2029 1348. Sisi Chen, Liangxiao Jiang, An Empirical Study on Multi-instance Learning, Advances in information Sciences and Service Sciences(AISS), Volume4, Number6, April 2012, pp. 193-202. 1349. Mittal, Sangeeta, Application of Bayesian Belief Networks for context extraction from wireless sensors data, 2012 14th International Conference on Advanced Communication Technology (ICACT), 19-22 Feb. 2012, 410 – 415 1350. Yan, L., Jones, G., Villette, S., Paoli, J.N., Gée, C., Combining spatial and spectral information to improve crop/weed discrimination algorithms, 2012, Proceedings of SPIE - The International Society for Optical Engineering 8300 , art. no. 83000E 1351. Erbacher, R.F., Biswas, A., Cameron, T., Novel data reduction techniques in large-scale network infrastructures through impact and vulnerability assessment, 2012, International Journal of Advancements in Computing Technology 4 (5) , pp. 32-48 1352. ALTI Adel, BOUKERRAM Abdallah, ROOSE Philippe, Selector: A tool for dynamic service selection and management, Journal of Computing (eISSN 2151-9617) 4, (2012) 1-10 1353. Ahmad, W., Narayanan, A., Humoral Artificial Immune System (HAIS) for supervised learning, 2012, International Journal of Computational Intelligence and Applications 11 (1) , art. no. 1250004 1354. Scott Jarvis; Scott A Crossley, Approaching language transfer through text classification : explorations in the detection-based approach, Publisher: Bristol ; Buffalo : Multilingual Matters, ©2012. Series: Second language acquisition (Clevedon, England), 64. 1355. Jonathan H. Clark, via Feature Induction Non-Linear Learning in Statistical Machine Tranlsation, Language Technologies Institute, School of Computer Science, Carnegie Mellon University, Ph.D. Thesis, 2012 1356. Amelia Zafra, Sebastian Ventura, Multi-instance Genetic Programming for Predicting Student Performance in Web Based Educational Environments, 2012, Applied Soft Computing Journal 12 (8) , pp. 2693-2706 1357. M.H. Osman, Z.M. Nopiah, S. Abdullah, Feature Selection for Fatigue Segment Classification System Using Elitist Non-Dominated Sorting in Genetic Algorithm, Applied Mechanics and Materials (Volume 165), 232-236

1358. Gülefşan Bozkurt Gönen, Mehmet Gönen, Fikret Gürgen, Probabilistic and discriminative group-wise feature selection methods for credit risk analysis, Expert Systems with Applications, In Press, Available online 27 April 2012 1359. Tadeusz Lasota, Tomasz Łuczak and Bogdan Trawiński, Investigation of Rotation Forest Method Applied to Property Price Prediction, Lecture Notes in Computer Science, 2012, Volume 7267, Artificial Intelligence and Soft Computing, Pages 403-411 1360. Tadeusz Lasota, Tomasz Łuczak and Bogdan Trawiński, Investigation of Rotation Forest Method Applied to Property Price Prediction, Lecture Notes in Computer Science, 2012, Volume 7267, Artificial Intelligence and Soft Computing, Pages 403-411 1361. Daniel Lieber, Benedikt Konrad, Jochen Deuse, Marco Stolpe and Katharina Morik, Sustainable Interlinked Manufacturing Processes through Real-Time Quality Prediction, 2012, Leveraging Technology for a Sustainable World, Pages 393-398 1362. Qiuju Yang, Jimin Liang, Zejun Hu, Zanyang Xing, Heng Zhao, Automatic recognition of poleward moving auroras from all-sky image sequences based on HMM and SVM, Planetary and Space Science, In Press, Available online 30 April 2012 1363. Dustin Baumgartner and Gursel Serpen, Performance of global–local hybrid ensemble versus boosting and bagging ensembles, International Journal of Machine Learning and Cybernetics, Online First™, 25 April 2012 1364. D.Jayalatchumy, K.Manodurga, Weighted Distance Based Sampling Technique to Improve Efficiency in High Dimensional DataNational Conference on Future Computing. Volume 1, March 2012, 134-137 1365. Kawther A.Aldhaln, Akram M. Zeki, Knowledge Extraction In Hadith Using Data Mining Technique, International Journal of Information Technology & Computer Science ( IJITCS ) - ISSN : 2090-1610 1366. P.Isakki alias Devi, S.P.Rajagopalan, Analysis of Customer Behavior using Clustering and Association Rules, International Journal of Computer Applications (0975 – 8887), Volume 43– No.23, April 2012, pp. 19-26. 1367. Gabrijela Dimić, Dragana Prokin, Kristijan Kuk, Marko Micalović, Primena Decision Trees i Naive Bayes klasifikatora na skup podataka izdvojen iz Moodle kursa, INFOTEH-JAHORINA Vol. 11, March 2012, pp. 877-882. 1368. Timothy J. Wilson, Mfire-2: A Multi Agent System For Flow-Based Intrusion Detection Using Stochastic Search, Department Of The Air Force, Air University, 2012 1369. Chanisara Lueviphan, and Verayuth Lertnattee, Automated text categorization for drug monograph by Weka, Creative Economy Proccedings, pp. 165-168 1370. K. Poornamala, R. Lawrance, A Frequent Pattern Tree Algorithm For Mining Association Rule Using Genetic Algorithm, International Conference on Computing and Control Engineering (ICCCE 2012), 12 & 13 April, 2012, pp. 1-7 1371. Matthew W. Segar, Utilization of Probabilistic Models in Short Read Assembly from Second-Generation Sequencing, Thesis, Bucknell University, 2012 1372. Siti Hajar Arbain, Antoni Wibowo, Time Series Methods For Water Level Forecasting Of Dungun River In Terengganu Malaysia, International Journal of Engineering Science and Technology (IJEST), Vol. 4 No.04 April 2012, pp. 1803-1811 1373. Samhouri, M.S., Idwan, S., Mukattash, A., A system for adaptive intelligent learning (SAIL), 2011, International Review on Modelling and Simulations 4 (5) , pp. 2651-2656

1374. Chongsheng Zhang and Paolo Soda, A Double-Ensemble Approach for Classifying Skewed Data Streams, Lecture Notes in Computer Science, 2012, Volume 7301, Advances in Knowledge Discovery and Data Mining, Pages 254-265 1375. K.Ganeshkumar, H.Vignesh Ramamoorthy, S.Sudha, D.Suganya Devi, An Encrypted Technique with Association Rule Mining in Cloud Environment, National Conference on Advancement of Technologies – Information Systems & Computer Networks (ISCON – 2012), pp. 5-8. 1376. Correa, Christian, Feature extraction on vineyard by Gustafson Kessel FCM and K-means, 2012 16th IEEE Mediterranean Electrotechnical Conference (MELECON), 25-28 March 2012, Spain, pp. 481-484. 1377. Zifang Huang, Knowledge-Assisted Sequential Pattern Analysis: An Application in Labor Contraction Prediction, University of Miami, Doctor of Philosophy, Coral Gables, Florida, May 2012 1378. Saeed Masoudnia and Reza Ebrahimpour, Mixture of experts: a literature survey, Artificial Intelligence Review, Online First™, 12 May 2012 1379. Saeed Masoudnia and Reza Ebrahimpour, Mixture of experts: a literature survey, Artificial Intelligence Review, Online First™, 12 May 2012 1380. Saeed Masoudnia and Reza Ebrahimpour, Mixture of experts: a literature survey, Artificial Intelligence Review, Online First™, 12 May 2012 1381. Rui Zhang, Donglian Sun, Yunyue Yu, Anthony Stefanidis, Mitchell D. Goldberg, Validation of the GOES-R ABI flood and standing water algorithm using gauging station measurements and interpretation maps, Remote Sensing of Environment, Volume 123, August 2012, Pages 483-495 1382. Thomas Ryan Hoens, LIVING IN AN IMBALANCED WORLD, Doctor of Philosophy, Computer Science and Engineering, Notre Dame, Indiana, April 2012 1383. H.S Behera, Madhusmita Mishra, Simpi Patel, Weighted Clustering Based Preemptive Scheduling For Real Time System, International Journal on Computer Science and Engineering (IJCSE), pp. 663-674. 1384. Meiying Nie, XinJuan Zhou, Study on Library Administrate Decision Using Data Mining, International Journal of Advancements in Computing Technology(IJACT), Volume4, Number8, May 2012, pp. 165-172. 1385. Adam, A., Ibrahim, Z., Shapiai, M.I., Chew, L.C., Jau, L.W., Khalid, M., Watada, J. A two-step supervised learning artificial neural network for imbalanced dataset problems, 2012, International Journal of Innovative Computing, Information and Control 8 (5 A) , pp. 3163-3172 1386. Shaio Yan Huang, An-An Chiu,Bau-Chi Wang, Applying Intellectual Capital on Financial Distress Prediction Model in Taiwan Information Technology and Electronic Industry, International Journal of Advancements in Computing Technology(IJACT), Volume 4, Number 8, May 2012, pp. 270-280. 1387. Nadeem Qazi,Kamran Raza, Effect of Feature Selection, SMOTE and under Sampling on Class Imbalance Classification, International Conference on Computer Modeling and Simulation, March 2012, pp. 145-150 1388. Radu D. Gaceanu, Agent Based Pattern Recognition, PhD thesis, Mathematics And Computer Science, Eotvos Lorand University. 2012 1389. Yuan, B. and Ma, X.L. (2012) "Sampling + Reweighting: Boosting the Performance of AdaBoost on Imbalanced Datasets". In Proceedings of the 2012 International Joint Conference on Neural Networks, IEEE, Brisbane, Australia. 1390. Chia-Yu Hsu, Chen-Fu Chien and Yai-Chun Lai, Main Branch Decision Tree Algorithm for Yield Enhancement with Class Imbalance, Smart Innovation, Systems

and Technologies, 1, Volume 15, Intelligent Decision Technologies, Part 1, Pages 235-244 1391. Ming Ren, Advanced Map Matching Technologies and Techniques for Pedestrian/Wheelchair Navigation, Doctor of Philosophy, University of Pittsburgh, 2012 1392. K.Nandhini, S.Saranya, Comparison of Decision Tree and ANN Techniques for Data Classification, International Journal of Emerging Technology and Advanced Engineering (ISSN 2250-2459), Volume 2, Issue 5, May 2012, pp. 323-327 1393. Bhoomi Trivedi, Neha Kapadia, Modified Stacked Generalization with Sequential learning, International Conference & Workshop on Recent Trends in Technology, (TCET) 2012, pp. 38-43 1394. Laci Mary Barbosa Manhães, Sérgio Manuel Serra da Cruz, Raimundo J., Macário Costa, Jorge Zavaleta, Geraldo Zimbrão, Identificação dos Fatores que Influenciam a Evasão em Cursos de Graduação Através de Sistemas Baseados em Mineração de Dados: Uma Abordagem Quantitativa, VIII Simpósio Brasileiro de Sistemas de Informação (SBSI 2012), Trilhas Técnicas, pp. 468-479. 1395. Gurudatta Verma, Vinti Nanda, Association Rule Mining By Block Scattered Transposition, International Journal Of Advanced Research In Computer Engineering & Technology(IJARCET), Vol 1, No 3 (2012). 1396. Aldhaln, Kawther; Zeki, Akram; Zeki, Ahmed; Alreshidi, Hamad, Improving knowledge extraction of Hadith classifier using decision tree algorithm, 2012 International Conference on Information Retrieval & Knowledge Management (CAMP), Page(s): 148 - 152 1397. Wilairat Yathongchai, Chusak Yathongchai, Kittisak Kerdprasop, Nittaya Kerdprasop, Factor Analysis with Data Mining Technique in Higher Educational Student Drop Out, Latest Advances in Educational Technologies, pp. 111-116. 1398. Milos Jovanovica, Milan Vukicevica, Milos Milovanovica & Miroslav Minovica, Using data mining on student behavior and cognitive style data for improving e-learning systems: a case study, International Journal of Computational Intelligence Systems, Volume 5, Issue 3, 2012, pages 597-610 1399. Tomas Borovicka, Training Set Construction Methods, Master's thesis, Department of Software Engineering Czech Technical University in Prague, 2012 1400. Tomas Borovicka, Training Set Construction Methods, Master's thesis, Department of Software Engineering Czech Technical University in Prague, 2012 1401. Gurudatta Verma, Vinti Nanda, Frequent Item set Generation by Parallel Preprocessing on Generalized Dataset, International Journal of Scientific & Engineering Research Volume 3, Issue 4, April-2012, pp. 1-6. 1402. Meghna Khatri, A Survey of Naïve Bayesian Algorithms for Similarity in Recommendation Systems, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 5, May 2012, pp. 217-219. 1403. Madeeh Al-Gedawy, Osman Hegazy, Enriching the Text Mining Capabilities by Transforming the Text Mining Domain to Chess Game Domain to Simulate Future Scenarios, International Journal of Computer Applications (0975 – 8887), Volume 45– No.16, May 2012, pp. 48-58 1404. Xin Suna, Yanheng Liua, Jin Lic, Jianqi Zhua, Xuejie Liua, Huiling Chena, Using cooperative game theory to optimize the feature selection problem, Neurocomputing, Available online 29 May 2012, In Press 1405. David Corne, Clarisse Dhaenens, Laetitia Jourdan, Synergies between operations research and data mining: The emerging use of multi-objective approaches,

European Journal of Operational Research Volume 221, Issue 3, 16 September 2012, Pages 469–479 1406. V. García, A.I. Marqués, J.S. Sánchez, On the use of data filtering techniques for credit risk prediction with instance-based models, Expert Systems with Applications, In Press, Available online 7 June 2012 1407. Igor Santos, Jorge de-la-Peña-Sordo, Iker Pastor-López, Patxi, Galán-García, Pablo G. Bringas, Automatic Categorisation of Comments in Social News Websites, Expert Systems with Applications, In Press, Available online 7 June 2012 1408. Igor Santos, Jorge de-la-Peña-Sordo, Iker Pastor-López, Patxi, Galán-García, Pablo G. Bringas, Automatic Categorisation of Comments in Social News Websites, Expert Systems with Applications, In Press, Available online 7 June 2012 1409. J. M. Banda, R. A. Angryk and P. C. H. Martens, On Dimensionality Reduction for Indexing and Retrieval of Large-Scale, Solar Image Data, Solar Physics, Online First™, 6 June 2012 1410. Ahmad Abu Shanab, Taghi Khoshgoftaar and Randall Wald, Robustness of Threshold-Based Feature Rankers with Data Sampling on Noisy and Imbalanced Data, Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, pp. 92-97 1411. Tong Lin, Hanlin Xue, Ling Wang, Hongbin Zha, Total Variation and Euler's Elastica for Supervised Learning, ICML 12. 1412. He, Qiwei and Veldkamp, Bernard P. (2012) Classifying Unstructured Textual Data Using the Product Score Model: An Alternative Text Mining Algorithm. In: Psychometrics in practice at RCEC. RCEC, pp. 49-73. ISBN 9789036533744 1413. Weicai Zhong, Bijan Raahemi and Jing Liu, Classifying peer-to-peer applications using imbalanced concept-adapting very fast decision tree on IP data stream, Peer-To-Peer Networking And Applications, 2012, DOI: 10.1007/s12083-012-0147-5 1414. Michael Siering and Jan Muntermann, The Role of Misbehavior in Efficient Financial Markets: Implications for Financial Decision Support, FinanceCom 2012 1415. Pornpimol Bungkomkhun and Surapong Auwatanamongkol, Grid-based Supervised Clustering Algorithm using Greedy and Gradient Descent Methods to Build Clusters, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 3, No 2, May 2012, pp. 73-81. 1416. A. S. Galathiya, A. P. Ganatra, C. K. Bhensdadia, Classification with an improved Decision Tree Algorithm, International Journal of Computer Applications (0975 – 8887), Volume 46– No.23, May 2012, pp. 1-6. 1417. Endu Duneja, A.K. Sachan, A Survey on Frequent Itemset Mining with Association, International Journal of Computer Applications (0975 – 8887), Volume 46– No.23, May 2012, pp. 18-24 1418. Biswaranjan Nayak, Srinivas Prasad, A Pragmatic Approach on Association Rule Mining and its Effective Utilization in Large Databases, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 3, No 1, May 2012, pp. 249-258. 1419. Victoria J. Hodge And Jim Austin, Discretisation Of Data In A Binary Neural K-Nearest Neighbour Algorithm, Technical Report YCS-2012-473, Department of Computer Science, University of York, UK, 2012 1420. Tim Schlüter and Stefan Conrad, Hidden Markov Model-Based Time Series Prediction Using Motifs for Detecting Inter-Time-Serial Correlations, ACM SAC’12 March 25-29, 2012, Riva del Garda, Italy, pp. 158-164 1421. F. Sarro, S. Di Martino, F. Ferrucci, C. Gravino, A Further Analysis on the Use of Genetic Algorithm to Configure Support Vector Machines for Inter-Release

Fault Prediction, ACM SAC’12, March 26-30, 2012, Riva del Garda, Italy, pp. 1215-1220. 1422. Jie Du, Lina Zhou, Improving financial data quality using ontologies, Decision Support Systems (2012), doi: 10.1016/j.dss.2012.04.016 1423. Jaree Thongkam and Vatinee Sukmak, Bagging Random Tree for Analyzing Breast Cancer Survival, KKU Res. J. 2012; 17(1):1-13 1424. Denis Ferraretti, Giacomo Gamberoni, and Evelina Lamma, I2AM: a Semi-Automatic System for Data Interpretation in Petroleum Geology, PAI 2012, Proceedings of the AI*IA Workshop and Prize for Celebrating 100th Anniversary of Alan Turing's Birth Rome, Italy, June 15, 2012. 1425. Eden W. M. Ma, Tommy W. S. Chow, Michael G. Pecht, Evaluating Nominal Parameters in Fault Diagnosis, 2012 Prognostics & System Health Management Conference (PHM-2012 Beijing) 1426. Nafiseh Shabib, Gleb Sizov, and John Krogstie. 2012. Product-aware advertising. In Proceedings of the 6th Euro American Conference on Telematics and Information Systems (EATIS '12), Rogerio Patricio Chagas do Nascimento (Ed.). ACM, New York, NY, USA, 355-358. 1427. Isik, F., Ozden, G., Kuntalp, M., Importance of data preprocessing for neural networks modeling: The case of estimating the compaction parameters of soils, 2012, Energy Education Science and Technology Part A: Energy Science and Research 29 (1) , pp. 463-474 1428. Dhurandhar, Amit, Kalagnanam, Jayant R., MULTI-STEP TIME SERIES PREDICTION IN COMPLEX INSTRUMENTED DOMAINS", patent number = "20120150489", 2012, June. 1429. Iliya MITOV, Class association rule mining using multidimensional numbered information spaces, DOCTORAATS PROEFSCHRIFT, 2011, Faculteit Wetenschappen, Institute of Mathematics and Informatics, Bulgarije 1430. Limei, Zhu, A comparison method on the effect of AIDS drug cocktail therapy based on KSF analysis, 2012 IEEE Symposium on Robotics and Applications (ISRA), 3-5 June 2012, Page(s): 729 - 732 1431. I. Pastor-López, I. Santos, A. Santamaría-Ibirika, M. Salazar, J. de-la-Peña-Sordo and P.G. Bringas Machine-learning-based Surface Defect Detection and Categorisation in High-Precision Foundry. In Proceedings of 7th IEEE Conference in Industrial Electronics and Applications (ICIEA), Singapur (Singapur), 18-20th July 2012 1432. I. Pastor-López, I. Santos, A. Santamaría-Ibirika, M. Salazar, J. de-la-Peña-Sordo and P.G. Bringas Machine-learning-based Surface Defect Detection and Categorisation in High-Precision Foundry. In Proceedings of 7th IEEE Conference in Industrial Electronics and Applications (ICIEA), Singapur (Singapur), 18-20th July 2012 1433. Owoade A. Akeem, Ogunyinka T., K, Abimbola B., L., A Framework for Multimedia Data Mining in Information Technology Environment, (IJCSIS) International Journal of Computer Science and Information Security,Vol. 10, No. 5, May 2012, 69-77 1434. Endu Duneja and A k Sachan. A Survey on Frequent Itemset Mining with Association Rules. International Journal of Computer Applications 46(23):18-24, May 2012. 1435. Ferreira, A., Figueiredo, M., A dynamic wrapper method for feature discretization and selection, ICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods 1 , pp. 103-112

1436. Poray, J., Schommer, C., Operations on conversational mind-graphs, ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence 1 , pp. 511-514 1437. Otten, S.F.J., Spruit, M.R., Linguistic Engineering and its applicability to business intelligence: Towards an integrated framework, KDIR 2011 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval , pp. 460-464 1438. Nachida, R., Boussaid, O., Nader, F., Integration of profile in OLAP systems, KDIR 2011 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval , pp. 320-332 1439. Ling-Chien Hsu, IC Product Packaging and Sales Prediction Model Research --Using company Y as an example, Department of Industrial and Information Management, Msc thesis 1440. Ahmad Khan, Javid Ullah, M. Arfan Jaffar and Tae-Sun Choi, Color image segmentation: a novel spatial fuzzy genetic algorithm, SIGNAL, IMAGE AND VIDEO PROCESSING, 2012, DOI: 10.1007/s11760-012-0347-8 1441. Elisa Costante, Yuanhao Sun, Milan Petkovic, Jerry den Hartog, A Machine Learning Solution to Assess Privacy Policy Completeness, TR, Eindhoven University of Technology Graduate School of Technical Teacher Education 1442. Dr. S. Appavu Alias Balamurugan and Gilbert Nancy S., Equal Width Discretization for Effective Feature Selection-A Comparative Study, Proceedings of the National Conference on Knowledge Discovery and Data Mining (NCKDDM’11), pp. 106-112, India 1443. Yeh, Jian-hua; Lin, Chen; Chang, Yuan-ling, Classification improvement based on feature combination and topic vector model, 2012 International Conference on Systems and Informatics (ICSAI), Page(s): 2347- 2351 1444. Limei, Zhu; Hemin, Tian; Liangchen, Wen, A comparison method on the effect of AIDS drug cocktail therapy based on KSF analysis, 2012 IEEE Symposium on Robotics and Applications (ISRA), Page(s): 729- 732 1445. Nachida, Rezoug; Fahima, Nader, A contextual personalized recommander system for mobile OLAP, 2012 International Conference on Information Technology and e-Services (ICITeS), Page(s): 1- 7 1446. Verma, Gurudatta; Nanda, Vinti, An Effectual Algorithm For Frequent Itemset Generation In Generalized Data Set Using Parallel Mesh Transposition, 2012 International Conference on Advances in Engineering, Science and Management (ICAESM), Page(s): 719 - 724