Title :
KEEL: A data mining software tool integrating genetic fuzzy systems
Author :
Alcalá-Fdez, Jesú ; García, Salvador ; Berlanga, Francisco José ; Fernández, Alberto ; Sánchez, Luciano ; del Jesus, M.J. ; Herrera, Francisco
Author_Institution :
Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada, Granada
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.
Keywords :
data mining; fuzzy set theory; fuzzy systems; genetic algorithms; knowledge acquisition; software tools; statistical testing; KEEL; data mining software tool; evolutionary algorithms; genetic fuzzy systems; knowledge extraction based on evolutionary learning; statistical test module; Computer science; Data mining; Evolutionary computation; Fuzzy logic; Fuzzy systems; Genetics; Performance analysis; Performance evaluation; Software tools; System testing;
Conference_Titel :
Genetic and Evolving Systems, 2008. GEFS 2008. 3rd International Workshop on
Conference_Location :
Witten-Bommerholz
Print_ISBN :
978-1-4244-1612-7
Electronic_ISBN :
978-1-4244-1613-4
DOI :
10.1109/GEFS.2008.4484572
