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

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

Published Online: 22 JUN 2009

DOI: 10.1002/9780470699904.ch3

Book Title

Data Mining Techniques in Grid Computing Environments

Data Mining Techniques in Grid Computing Environments

Additional Information

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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CHAPTER TOOLS

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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

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