Learning Classifier Systems in Data Mining
Bull, Larry; Bernado-mansilla, Ester; Holmes, John
ISBN 10: 3642097758 ISBN 13: 9783642097751
Published by Springer, 2010
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Synopsis:
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.
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Bibliographic Details
Title: Learning Classifier Systems in Data Mining
Publisher: Springer
Publication Date: 2010
Binding: Soft cover
Condition: As New