Learning Classifier Systems in Data Mining

  • Larry Bull
  • Ester Bernadó-Mansilla
  • John Holmes

Part of the Studies in Computational Intelligence book series (SCI, volume 125)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Larry Bull, Ester Bernadó-Mansilla, John Holmes
    Pages 1-15
  3. Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Natalio Krasnogor
    Pages 17-46
  4. Hai H. Dam, Pornthep Rojanavasu, Hussein A. Abbass, Chris Lokan
    Pages 69-91
  5. Faten Kharbat, Mohammed Odeh, Larry Bull
    Pages 93-121
  6. Albert Orriols-Puig, Ester Bernadó-Mansilla
    Pages 123-145
  7. Avinash Gandhe, Ssu-Hsin Yu, Raman Mehra, Robert E. Smith
    Pages 147-167
  8. Christopher Stone, Larry Bull
    Pages 169-189
  9. Kreangsak Tamee, Larry Bull, Ouen Pinngern
    Pages 191-204
  10. Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
    Pages 205-230

About this book

Introduction

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.

Keywords

classification clustering cognition data mining evolution evolutionary computation fuzzy logic knowledge knowledge discovery learning machine learning modeling proving robotics supervised learning

Editors and affiliations

  • Larry Bull
    • 1
  • Ester Bernadó-Mansilla
    • 2
  • John Holmes
    • 3
  1. 1.School of Computer ScienceUniversity of the West of EnglandBristolUK
  2. 2.Enginyeria i Arquitectura La SalleUniversitat Ramon LlullBarcelonaSpain
  3. 3.Centre for Clinical Epidemiology and BiostatisticsUniversity of PennsylvaniaPhiladelphiaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-78979-6
  • Copyright Information Springer Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-78978-9
  • Online ISBN 978-3-540-78979-6
  • Series Print ISSN 1860-949X
  • About this book
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