2004
030
Data Mining in Learning Classifier Systems: Comparing XCS with GAssist
Bacardit, J., Butz, M. V. (2004)
TR No.: 2004030 | Download PDF | Download PS
TR No.: 2004030 | Download PDF | Download PS
Abstract:
This paper compares performance of the Pittsburgh-style system GAssist with the Michigan-style system XCS on several datamining problems. Our analysis shows that both systems are suitable for datamining but have different advantages and disadvantages. The study does not only reveal important differences between the two systems but also suggests several structural properties of the underlying datasets.
Posted: June 4th, 2004 under Genetic algorithms.
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