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Learning classifier systems in data mining

Author: Larry Bull; Ester Bernadó-Mansilla; John Holmes
Publisher: Berlin : Springer-Verlag, 2008.
Series: Studies in computational intelligence, v. 125.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Annotation 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  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Larry Bull; Ester Bernadó-Mansilla; John Holmes
ISBN: 9783540789796 3540789790 3540789782 9783540789789
OCLC Number: 272299013
Description: 1 online resource (ix, 230 pages) : illustrations.
Contents: Learning Classifier Systems in Data Mining: An Introduction.- Data Mining in Proteomics with Learning Classifier Systems.- Improving Evolutionary Computation Based Data-Mining for the Process Industry: The Importance of Abstraction.- Distributed Learning Classifier Systems.- Knowledge Discovery from Medical Data: An Empirical Study with XCS.- Mining Imbalanced Data with Learning Classifier Systems.- XCS for Fusing Multi-Spectral Data in Automatic Target Recognition.- Foreign Exchange Trading Using a Learning Classifier System.- Towards Clustering with Learning Classifier Systems.- A Comparative Study of Several Genetic-Based Supervised Learning Systems.
Series Title: Studies in computational intelligence, v. 125.
Responsibility: Larry Bull, Ester Bernadó-Mansilla, John Holmes (eds.).

Abstract:

The ability of Learning Classifier Systems (LCS) to solve complex real-world problems is becoming clear. This book brings together work by a number of individuals who demonstrate the good performance  Read more...

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