Chapter 6. FAEHIM: Federated Analysis Environment for Heterogeneous Intelligent Mining
- Werner Dubitzky
Published Online: 22 JUN 2009
DOI: 10.1002/9780470699904.ch6
Copyright © 2008 John Wiley & Sons, Ltd
Book Title
Data Mining Techniques in Grid Computing Environments
Additional Information
How to Cite
Shaikh Ali, A. and Rana, O. F. (2009) 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
Biomedical Sciences Research Institute, University of Ulster, Coleraine, United Kingdom
Publication History
- Published Online: 22 JUN 2009
- Published Print: 14 NOV 2008
ISBN Information
Print ISBN: 9780470512586
Online ISBN: 9780470699904
- Summary
- Chapter
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