Chapter 6. FAEHIM: Federated Analysis Environment for Heterogeneous Intelligent Mining

  1. Werner Dubitzky
  1. Ali Shaikh Ali and
  2. Omer F. Rana

Published Online: 22 JUN 2009

DOI: 10.1002/9780470699904.ch6

Data Mining Techniques in Grid Computing Environments

Data Mining Techniques in Grid Computing Environments

How to Cite

Shaikh Ali, A. and Rana, O. F. (2008) FAEHIM: Federated Analysis Environment for Heterogeneous Intelligent Mining, in Data Mining Techniques in Grid Computing Environments (ed W. Dubitzky), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470699904.ch6

Editor Information

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

Author Information

  1. School of Computer Science, Cardiff University, Cardiff, 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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Keywords:

  • data mining and compact representations;
  • FAEHIM - federated analysis environment for heterogeneous intelligent mining;
  • machine learning algorithms and data mining distinction;
  • Web services Resource Framework (WSRF);
  • distributed knowledge discovery framework (DKDF);
  • workflow-based knowledge discovery;
  • data mining service framework;
  • data mining Web service architecture;
  • data manipulation tools

Summary

This chapter contains sections titled:

  • Introduction

  • Requirements of a distributed knowledge discovery framework

  • Workflow-based knowledge discovery

  • Data mining toolkit

  • Data mining service framework

  • Distributed data mining services

  • Data manipulation tools

  • Availability

  • Empirical experiments

  • Conclusions

  • References