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A WEB Based Cooperative System for Pollution Data Analysis and Environment Healt Monitoring

A WEB Based Cooperative System for Pollution Data Analysis and Environment Healt Monitoring. A Research and Development Initiative Promoted by DI.S.T.A. Funded by EEC in the framework of BEEP project and by MURST in the framework of MITILUS project. Project Management :

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A WEB Based Cooperative System for Pollution Data Analysis and Environment Healt Monitoring

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  1. A WEB Based Cooperative System for Pollution Data Analysis and Environment Healt Monitoring A Research and Development Initiative Promoted by DI.S.T.A. Funded by EEC in the framework of BEEP project and by MURST in the framework of MITILUS project Project Management: Attilio Giordana (Computer Science) Aldo Viarengo (Biology) Team: M. Botta, Burlando, L. Portinale, A. Serra, M. Rapetti, G. Porcelli.

  2. Project Goals To provide a user friendly apparatus world wide accessible for sharing and analyzing biological data collected by the environment monitoring laboratories To develop new data mining algorithms oriented to biological data analysis.

  3. now6 now13 now5 now12 now19 now4 now11 now18 now3 now10 now17 now2 now9 now16 now1 now8 now15 WEB Server Hermes (Oracle) now0 now7 now14 switch switch Hardware Support: Web server+DB server+Beowulf (20 Pentium III 800) Beowulf (20 PC)

  4. {a-i} {a-i} {a-i} {a-i} Color Color { m-t} { m-t} White White DB Blue Blue x1 x1 1 1 Red Green Red Green o1 o1 { b,g} { d,e,f,h} { a,i } { b,g} { d,e,f,h} { a,i } DB { c } { c } Shape Shape { m,t} { n,q} { m,t} { n,q} 2 2 x2 x2 { p,r,s } { p,r,s } • • • • • • • • • • • • o2 o2 DB 3 3 Triangle Circle Triangle Circle +1 +1 Square Oval Square Oval 4 4 +1 +1 {d,h} {f} {d,h} {f} { n} { n} {e} Size {e} Size { q} { q} DB Every user will benefit of a personal database together with an application specific set of data-mining tools User Environment

  5. Software Architecture Data Storage (192 Gbytes) WEB Server Oracle Database Manager Servelets Java Interface Data Mining Algorithms

  6. A User Fiendly Graphic Interface ........ Dataset name Tool1 Tool2 Tool3 Tool4 Tool5 op1 op2 op3 view 1 op1 op2 op3 op4 view 2 ..............................

  7. Data Intensive AlgorithmsRun in Parallel on the Beowulf Algorimi ad uso interattivo D-Tree Algoritm Server Neural Net Servlets .............. G-net Sequence Analysis Cluster

  8. Workpackages WP1: Database Design + Meta data WP2: Graphic Interface design and implementation 2.1: Approach selection 2.2: User autentication procedure 2.3: Oracle interafce 2.4: Data visualization WP3: Tool configuration interface 3.1 G-Net 3.2 Mine-Rule 3.3 Clustering Algorithms 3.4 Characterization Algorithm 3.5 Decision/Regression Trees 3.6 Neural Networks

  9. Workpackages..... WP4: Servlet implementation WP5: Algorithm server implementation 5.1: Design 5.2: implementation WP6: Algorithm implementation 6.1: New KDD algorithm implementation 6.2: Existing algorithm revision

  10. Work-Flow 15/1/2001 15/2/2001 15/3/2001 Wp1 Wp1 (revision) Wp2.1 Wp2.2 - Wp2.4 Wp3.1-Wp3.6 Wp4 Wp5.1 Wp5.2 Wp6.1 - Wp6.2

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