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.
General
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