Mining knowledge from data using Anticipatory Classifier System
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摘要
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.
论文关键词：Learning Classifier System,Data mining,Knowledge representation,Anticipatory Classifier System
论文评审过程：Received 22 October 2007, Revised 24 January 2008, Accepted 12 February 2008, Available online 26 February 2008.
论文官网地址：https://doi.org/10.1016/j.knosys.2008.02.001
