Chapter 12. DMGA: A Generic Brokering-Based Data Mining Grid Architecture

  1. Werner Dubitzky
  1. Alberto Sánchez Jr.,
  2. María S. Pérez Jr.,
  3. Pierre Gueant,
  4. José M. Peña,
  5. Pilar Herrero

Published Online: 22 JUN 2009

DOI: 10.1002/9780470699904.ch12

Book Title

Data Mining Techniques in Grid Computing Environments

Data Mining Techniques in Grid Computing Environments

Additional Information

How to Cite

Sánchez, A., Pérez, M. S., Gueant, P., Peña, J. M. and Herrero, P. (2009) DMGA: A Generic Brokering-Based Data Mining Grid Architecture, in Data Mining Techniques in Grid Computing Environments (ed W. Dubitzky), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470699904.ch12

Editor Information

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

Author Information

  1. Universidad Politécnica de Madrid, Facultad de Informática, Madrid, Spain

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:

  • Data Mining Grid Architecture (DMGA);
  • DMGA - generic brokering-based data mining grid architecture;
  • data division and distribution;
  • resource discovery system;
  • brokering architecture;
  • distributed tree induction;
  • DMGA and WekaG;
  • grid infrastructure Weka support

Summary

This chapter contains sections titled:

  • Introduction

  • DMGA overview

  • Horizontal composition

  • Vertical composition

  • The need for brokering

  • Brokering-based data mining grid architecture

  • Use cases: Apriori, ID3 and J4.8 algorithms

  • Related work

  • Conclusions

  • References

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