KEEL: A data mining software tool integrating genetic fuzzy systems
Jesús Alcalá‐Fdez, Salvador García, F. J. Berlanga, Alberto Fernández, Luciano Sánchez, María José del Jesús, Francisco Herrera · 2008
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.