J. Alcalá-Fdez, S. García, F. Berlanga, Alberto Fernández, L. Sánchez, M. J. Jesús, F. Herrera
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引用次数: 15
Abstract
This work introduces the software tool KEEL to assess evolutionary algorithms for data mining problems including regression, classification, clustering, pattern mining and so on. It includes a big collection of genetic fuzzy system algorithms based on different approaches: Pittsburgh, Michigan, IRL and GCCL. It allows us to perform a complete analysis of any genetic fuzzy system in comparison to existing ones, including a statistical test module for comparison. The use of KEEL is illustrated through the analysis of one case study.
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