Chapter 13. Grid-Based Data Mining With the Environmental Scenario Search Engine (ESSE)

  1. Werner Dubitzky
  1. Mikhail Zhizhin1,
  2. Alexey Poyda2,
  3. Dmitry Mishin1,
  4. Dmitry Medvedev1,
  5. Eric Kihn3,
  6. Vassily Lyutsarev4

Published Online: 22 JUN 2009

DOI: 10.1002/9780470699904.ch13

Book Title

Data Mining Techniques in Grid Computing Environments

Data Mining Techniques in Grid Computing Environments

Additional Information

How to Cite

Zhizhin, M., Poyda, A., Mishin, D., Medvedev, D., Kihn, E. and Lyutsarev, V. (2009) Grid-Based Data Mining With the Environmental Scenario Search Engine (ESSE), in Data Mining Techniques in Grid Computing Environments (ed W. Dubitzky), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470699904.ch13

Editor Information

  1. Biomedical Sciences Research Institute, University of Ulster, Coleraine, United Kingdom

Author Information

  1. 1

    Geophysical Center RAS, Moscow, Russia

  2. 2

    Moscow State University, Moscow, Russia

  3. 3

    22 National Geophysical Data Center, NOAA, Bolder, CO, USA

  4. 4

    Microsoft Research Cambridge, Microsoft Research Ltd., Cambridge, United Kingdom

Publication History

  1. Published Online: 22 JUN 2009
  2. Published Print: 14 NOV 2008

ISBN Information

Print ISBN: 9780470512586

Online ISBN: 9780470699904

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CHAPTER TOOLS

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Keywords:

  • Global Change Master Directory (GCMD);
  • Environmental Scenario Search Engine (ESSE) and data grids;
  • fuzzy search engine;
  • ESSE grid-based data mining;
  • fuzzy search optimization;
  • data access component and data addressing set;
  • ESSE data source and data processor;
  • ESSE fuzzy search engine and Fourth Assessment Report validation

Summary

This chapter contains sections titled:

  • Environmental data source: NCEP/NCAR reanalysis data set

  • Fuzzy search engine

  • Software architecture

  • Applications

  • Conclusions

  • References

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