1 / 10

e-Science and Data Mining: Workshop Introduction

e-Science and Data Mining: Workshop Introduction. Bob Mann Institute for Astronomy & NeSC University of Edinburgh. Outline. The groups behind this workshop e-Science Data Mining Special Interest Group SC4DEVO “international sister project” Workshop goals Workshop programme.

wes
Télécharger la présentation

e-Science and Data Mining: Workshop Introduction

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. e-Science and Data Mining:Workshop Introduction Bob Mann Institute for Astronomy & NeSCUniversity of Edinburgh

  2. Outline • The groups behind this workshop • e-Science Data Mining Special Interest Group • SC4DEVO “international sister project” • Workshop goals • Workshop programme

  3. e-Science Data Mining SIG:Motivation • Many disciplines have a data deluge • Data integration major part of e-science • What to do with data once integrated? • Many standard analyses won’t scale • Much new science made possible • Look to data mining as a way of separating wheat from chaff

  4. “Scientific Data Mining, Integration & Visualization” • NeSC, October 2002 • www.nesc.ac.uk/talks/sdmiv/report.pdf • Participants from wide range of domains • astronomy, atmospheric science, bioinformatics, chemistry, digital libraries, engineering, environmental science, experimental physics, marine sciences, oceanography, and statistics…plus CS researchers and software engineers • But a common set of problems

  5. Problems from SDMIV • Lots of DM packages, lots of data formats • How to mine distributed data sources? • How to mine large data volumes? • and high-dimensional datasets • How to do data exploration? • Coupling data mining and visualization • How to work iteratively & interactively? • Tracking provenance, building workflows…

  6. Goals of the SIG • Forum for e-science data miners • Application scientists, algorithm writers, infrastructure developers • Identify requirements on infrastructure and algorithms from science drivers • Are there generic problems to solve? • Can there be an OGSA-DAI for data mining? • Stimulate/foster R&D where needed

  7. SIG activities to date • Set up steering group • N. Adams (ICTSM), J. Austin (York), Y. Guo (ICSTM), R. Mann (Edin.), R. Nichol (Port.), A. Shepherd (Birkbeck), A. Storkey (Edin.) • Mini-workshop at All Hands Meeting • Review of data mining in UK e-Science • Questionnaire [Amos Storkey talk] • This workshop

  8. Service Composition For Data Exploration in the Virtual Observatory (SC4DEVO) • e-Science “international sister project” • One of first four funded • Data exploration in astronomy • Data mining and visualization • Organise four workshops in 2004/2005 • Two astronomy-specific, two general • SC4DEVO-1: Caltech in July 2004 • SC4DEVO-2: now (Tue-Thu)

  9. Workshop Goals • Forum for discussion of issues relating to data mining in an e-science context • Contribution to esdm-sig review • Supplementing questionnaire results • Plan for esdm-sig operations • What should it do? • How often should it meet? • Etc.

  10. Workshop Programme • Introduction & context • Application drivers • e-Science data mining issues: • Scalability • Web/Grid service implementations • Mining distributed data sources • Text mining • Discussion • Report back and wrap-up Tuesday Wednesday

More Related