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DBMiner 2.0Adnan RahiPrabhat Vivekanandan
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Brief History of DBMiner Technology Inc.
Research on data mining since 1989.
International reputation and recognition.
Substantial research supports and contracts.
DBMiner Technology Inc.: A Simon Fraser University Spin-Off Company
Incorporated in March 1997, dedicated to data mining system development and commercialization.
Major products: DBMiner 2.0 (Enterprise)
Customization and application-oriented data mining systems
GeoMiner, WebMiner, WebLogMiner, …, more miners in progress
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General architecture of DBMiner
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Distinct Features of DBMiner
Multiple data mining functions. OLAP service, cube exploration, statistical
analysis, classification (market/customer segmentation, decision trees), association (basket data analysis), cluster analysis, etc.
On-line analytical mining of Microsoft/ PLATO OLAP cube.Data and knowledge visualization tools: visual data mining.OLEDB and RDBMS connections.
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DBMiner Features
It incorporates several interesting data mining techniques
attribute-oriented induction progressive deepening for mining multiple-level rules meta-rule guided knowledge mining
Implements a wide spectrum of data mining functions
generalization characterization association Classification Clustering
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DBMiner user interfaces
UNIX-basedWindows/NT-basedWWW/Netscape-based
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DBMiner Wizard
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OLAP Browser
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OLAP Browser
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3-D Cube
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Association
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Association Settings
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Classification
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Classification Settings
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Clustering
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Clustering Settings
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How did We Evaluate?
we have used FoodMart database
comes with MS SQL server
made up of two cubes: Sales and Warehouse
hardware features Pentium 166 MHZ
with 64 MB RAM, running Windows 2000
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Methodology capability:measures what a desktop tool can do, and how well it does it
scalability has programming language provides useful output reports has visualization capabilities
learnability/Usability:how easy a tool is to learn and use
tutorials wizards easy to learn user’s manual online help interface.
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Methodology (Cont.)
interoperability: tool’s ability to interface with
other computer applications importing data exporting data links to other applications
flexibility: the ease with which one can alter critical
guiding parameters, or create a customized environment customizable work environment ability to write or change codes
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Capability
the scalability factor of the software was efficient uses DMQL (Data Mining Query Language) the user is not able to manipulate the DMQL.
the visualization part of the software uses many graphics including ball graph, ball chart, grid, and frequent item sets pie charts and correlation plots were missing tree browsing was in graph view, which was
confusing OLAP browser, uses MS Excel 2000
visualization capabilities
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Capability (Cont.)
DBMiner shows the statistics report does not analyze the statistical
results the statistics report is too short
we were not able to print any of results from Associations, Classifications, and Clustering, as well as the statistics results the page was blank!
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Learnability/UsabilityDBMiner is not a complex program for people familiar with data mining does not include a tutorial to walk you through with an examplewizards are built in for automating the tasks of data mining
let the user select appropriate options for the tasks
the user interface is very simple and standard tool bars did not perform very well when enabled
for example, tools in the visualization pane
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Learnability/Usability (Cont.)
some of the commands under menus do not have any function associated with them
“Export” command under the file menu
the user’s manual is well constructed for a user to find appropriate way to explore
the style of the user’s manual is old, not web fashioned
does not contain links to other relevant topics
has a good on line help pressing F1 shows help topic most dialog boxes have help button
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Interoperability
does not support importing and exporting of data communicates with MS OLAP Server and has MS Excel 2000 embedded as a visualization tool for OLAP browsing.
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Flexibility
it is not possible to change or write DBQLhas the flexibility to let the user change the values of settings after each task is done
it is possible to increase/decrease the support threshold or the confidence threshold if the user is not happy with the current level.
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Other Limitations
depends only on MS SQL Server as its back-end
uses MS Excel 2000 as its visualization tool for OLAP
browsing unavailable functional modules
data dispersion module
time-serial analysis module
prediction module.
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Capability, Learnability/Usability, Interoperability, and
Flexibility
Excellent Good Average Needs Improvement Poor Does Not Exist
Scalability
Has programming language Provides useful output reports
Visualization
Wizards
Easy to learn
User’s manual
Online help
Interface
Importing data Exporting data Links to other applications
Customizable work environment
Ability to write or change codes Overall
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Any Questions?