Save 50% on Print Books, eBooks & Journals in Medicine! Browse now >>

Studies in Computational Intelligence

Learning Classifier Systems in Data Mining

Editors: Bull, Larry, Bernadó-Mansilla, Ester, Holmes, John (Eds.)

  • Brings together recent data mining applications of a machine learning technique
  • Covers a wide range of domains demonstrating the utility of the Learning Classifier Systems technique
see more benefits

Buy this book

eBook $149.00
price for USA
  • ISBN 978-3-540-78979-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA
  • ISBN 978-3-540-78978-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA
  • ISBN 978-3-642-09775-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Just over thirty years after Holland first presented the outline for Learning Classifier System paradigm, the ability of LCS to solve complex real-world problems is becoming clear. In particular, their capability for rule induction in data mining has sparked renewed interest in LCS. This book brings together work by a number of individuals who are demonstrating their good performance in a variety of domains.

The first contribution is arranged as follows: Firstly, the main forms of LCS are described in some detail. A number of historical uses of LCS in data mining are then reviewed before an overview of the rest of the volume is presented. The rest of this book describes recent research on the use of LCS in the main areas of machine learning data mining: classification, clustering, time-series and numerical prediction, feature selection, ensembles, and knowledge discovery.

Table of contents (10 chapters)

  • Learning Classifier Systems in Data Mining: An Introduction

    Bull, Larry (et al.)

    Pages 1-15

  • Data Mining in Proteomics with Learning Classifier Systems

    Bacardit, Jaume (et al.)

    Pages 17-46

  • Improving Evolutionary Computation Based Data-Mining for the Process Industry: The Importance of Abstraction

    Browne, William N. L.

    Pages 47-68

  • Distributed Learning Classifier Systems

    Dam, Hai H. (et al.)

    Pages 69-91

  • Knowledge Discovery from Medical Data: An Empirical Study with XCS

    Kharbat, Faten (et al.)

    Pages 93-121

Buy this book

eBook $149.00
price for USA
  • ISBN 978-3-540-78979-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA
  • ISBN 978-3-540-78978-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA
  • ISBN 978-3-642-09775-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Learning Classifier Systems in Data Mining
Editors
  • Larry Bull
  • Ester Bernad√≥-Mansilla
  • John Holmes
Series Title
Studies in Computational Intelligence
Series Volume
125
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-78979-6
DOI
10.1007/978-3-540-78979-6
Hardcover ISBN
978-3-540-78978-9
Softcover ISBN
978-3-642-09775-1
Series ISSN
1860-949X
Edition Number
1
Number of Pages
IX, 230
Topics