Chapter 10. Specification of Distributed Data Mining Workflows With DataMiningGrid

  1. Werner Dubitzky
  1. Dennis Wegener,
  2. Michael May

Published Online: 22 JUN 2009

DOI: 10.1002/9780470699904.ch10

Book Title

Data Mining Techniques in Grid Computing Environments

Data Mining Techniques in Grid Computing Environments

Additional Information

How to Cite

Wegener, D. and May, M. (2009) Specification of Distributed Data Mining Workflows With DataMiningGrid, in Data Mining Techniques in Grid Computing Environments (ed W. Dubitzky), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470699904.ch10

Editor Information

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

Author Information

  1. Fraunhofer IAIS, Sankt Augustin, Germany

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:

  • grid-based benefits and DataMiningGrid;
  • distributed data mining system scalability issue;
  • workflow construction operation;
  • parallelization and parameter sweep;
  • Extensibility without algorithm modification;
  • partitioning data - k-NN and bagging;
  • grid-enabled data mining;
  • DataMiningGrid system - problem-oriented data mining perspective

Summary

This chapter contains sections titled:

  • Introduction

  • DataMiningGrid environment

  • Operations for workflow construction

  • Extensibility

  • Case studies

  • Discussion and related work

  • Open issues

  • Conclusions

  • References

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