Introduction to the experimental design in the data mining tool KEEL

J. Alcalá-Fdez, I. Robles, F. Herrera, S. García, M. J. del Jesus, L. Sánchez, E. Bernadó-Mansilla, A. Peregrín, S. Ventura

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    1 Citació (Scopus)


    KEEL is a Data Mining software tool to assess the behaviour of evolutionary learning algorithms in particular and soft computing algorithms in general for different kinds of Data Mining problems including as regression, classification, clustering, pattern mining and so on. It allows us to perform a complete analysis of some learning model in comparison to existing ones, including a statistical test module for comparison. In this chapter the authors will provide a complete description of KEEL, the kind of problems and algorithms implemented, and they will present a case of study for showing the experimental design and statistical analysis that they can do with KEEL.

    Idioma originalAnglès
    Títol de la publicacióIntelligent Soft Computation and Evolving Data Mining
    Subtítol de la publicacióIntegrating Advanced Technologies
    EditorIGI Global
    Nombre de pàgines25
    ISBN (imprès)9781615207572
    Estat de la publicacióPublicada - 2010


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