admire overview
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ADMIRE Overview. European Commission 7 th Framework Programme. ADMIRE Partners. Partners: University of Edinburgh, UK (Coordinator) Fujitsu Laboratories of Europe, UK University of Vienna, Austria Universidad Politécnica de Madrid, Spain - PowerPoint PPT PresentationTRANSCRIPT
ADMIRE Overview
Advanced Data Mining and Integration Research for Europewww.admire-project.euADMIRE Framework 7 ICT 215024
ADMIRE Overview
European Commission7th Framework Programme
...making data-mining easierADMIRE Framework 7 ICT 215024*.
ADMIRE Partners
Partners:University of Edinburgh, UK (Coordinator)Fujitsu
Laboratories of Europe, UKUniversity of Vienna, AustriaUniversidad
Politcnica de Madrid, SpainInstitute of Informatics, Slovak Academy
of Sciences, SlovakiaComArch S.A., PolandFinance:4.3 Million in
costs, 3 Million in EC funding.
...making data-mining easierADMIRE Framework 7 ICT 215024*.
ADMIRE Goals
Accelerate access to and increase the benefits from data
exploitation;Deliver consistent and easy to use technology for
extracting information and knowledge;Cope with complexity,
distribution, change and heterogeneity of services, data, and
processes, through abstract view of data mining and integration;
andProvide power to users and developers of data mining and
integration processes.
...making data-mining easierADMIRE Framework 7 ICT 215024*.
ADMIRE Structure
WP1: High-Level Model and Language ResearchIncremental development
of models and languagesWP2: Architecture ResearchIncremental
development of a flexible, scalable, open DMI arch.WP3: Platform
Support & DeliveryDeliver robust service platforms, support
users WP4: Service Infrastructure Development and
EnhancementDevelop technology and services to enhance the DMI
service infra.WP5: DMI Tools DevelopmentDevelop and integrate tools
that make the technology easier to use WP6: Integrated
ApplicationsDemonstration of validation and performanceWP7: Project
Management
...making data-mining easierADMIRE Framework 7 ICT 215024*.
Data Mining Process Model V0
...making data-mining easierADMIRE Framework 7 ICT 215024*.
A Low-Level, Automatically Generated Process
...making data-mining easierADMIRE Framework 7 ICT 215024*.
ADMIREs High-Level Architecture
...making data-mining easierADMIRE Framework 7 ICT 215024*.
ADMIRE Gateways
...making data-mining easierADMIRE Framework 7 ICT 215024*.
ADMIRE Components
...making data-mining easierADMIRE Framework 7 ICT 215024*.
ADMIRE User Tools
WFCA
SKSA
OLAP
SDA
DMI experts
DMI Process Designer
CRM app view
Flood app view
Portal
Domain experts
Gateway
...making data-mining easierADMIRE Framework 7 ICT 215024*.
FFSC Use Case Hydrological Modelling
Target Area Selection The user selects using a visual tool
available in the ADMIRE user interface the geographical area of
interest, concretely a river basin.Mining Parameters Definition The
user defines several important parameters of the data mining
process, like the length of the deciding interval for
meteorological similarity, minimum and maximum amounts of
accumulated rainfall and sunshine. These parameters then drive the
data mining process.Meteorological Data Preprocessing The system
then starts preprocessing of the available meteorological data,
trying to find time intervals with meteorological conditions
suitable for further processing which conform to the parameters
given by the user.Runoff Computation After the time intervals from
step 3 are available, the system then proceeds towards computing
actual runoffs from the data available on hydrological conditions
of the rivers basin, the levels of the waterworks on the river, and
the inflow-outflow conditions of the waterworks.Data Interpretation
An important step is the interpretation of the runoff data. The
user reviews the output data, and draws conclusions as to the
evolution of foliage parameters in the target river
basin.
...making data-mining easierADMIRE Framework 7 ICT 215024*.
ADMIRE Pilot App: CRM
Prediction of churnMarketing planning: up-selling,
cross-selling
Database
Title
User
Text
CRM Database
Operational CRM
DB
DB
Analytical CRM
Customer Contact ModuleSale ModuleCampaign ModuleTransactions Module
...making data-mining easierADMIRE Framework 7 ICT 215024*.
ADMIRE Month 8
Research foundations: DMI model, high-level language, ontology and
architecture directions definedTestbed platform construction:
distributed testbed set up based on USMT v0 and OGSA-DAI v3.0Tools
integration planning: plans drawn up for the integration and
continued development of a raft of existing tools and platforms
prototyping of use case scenariosApplications use cases and
designs: two primary pilot apps analysed, over 20 individual use
cases identified and codified. Designs for ADMIRE versions of apps
complete
...making data-mining easierADMIRE Framework 7 ICT 215024*.
Any questions?
www.admire-project.eu