Chapter 3. GridMiner: An Advanced Support for E-Science Analytics

  1. Werner Dubitzky
  1. Peter Brezany1,
  2. Ivan Janciak1 and
  3. A. Min Tjoa2

Published Online: 22 JUN 2009

DOI: 10.1002/9780470699904.ch3

Data Mining Techniques in Grid Computing Environments

Data Mining Techniques in Grid Computing Environments

How to Cite

Brezany, P., Janciak, I. and Tjoa, A. M. (2009) GridMiner: An Advanced Support for E-Science Analytics, in Data Mining Techniques in Grid Computing Environments (ed W. Dubitzky), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470699904.ch3

Editor Information

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

Author Information

  1. 1

    Institute of Scientific Computing, University of Vienna, Vienna, Austria

  2. 2

    Institute of Software Technology & Interactive Systems, Vienna University of Technology, Vienna, Austria

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:

  • GridMiner framework - technologies and use cases;
  • grid-technology-based analytics framework - GridMiner;
  • Knowledge discovery in databases (KDD);
  • Gridminer - e-science analytics advanced support;
  • GridMiner and data mining models;
  • GridMiner with data access and management technologies;
  • Bit-Encoded Binary Structure (BESS);
  • graphical user interface (GUI);
  • Data Mining Query Language (DMQL)

Summary

This chapter contains sections titled:

  • Introduction

  • Rationale behind the design and development of GridMiner

  • Use Case

  • Knowledge discovery process and its support by the GridMiner

  • Graphical user interface

  • Future developments

  • Conclusions

  • References