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Mining knowledge from data using anticipatory classifier system
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DOI：10.1016/j.knosys.2008.02.001.png)
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Abstract
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The article demonstrates the capabilities of Anticipatory Classifier System in solving the data mining tasks. It is a first application of anticipatory learning to a real world exploration tasks. The results of experiments with Monk's, Voting-record and WBC problems are shown as well as comparison of these results with other systems is presented. ACS handles these tasks quite well even though it is designed for a different kind of problems. (c) 2008 Elsevier B.V. All rights reserved.
Keywords:
learning classifier system
data mining
knowledge representation
anticipatory classifier system
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