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

doi:10.4018/978-1-61520-757-2.ch001

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

Producció científica: Capítol de llibre › Capítol › Avaluat per experts

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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 original	Anglès
Títol de la publicació	Intelligent Soft Computation and Evolving Data Mining
Subtítol de la publicació	Integrating Advanced Technologies
Editor	IGI Global
Pàgines	1-25
Nombre de pàgines	25
ISBN (imprès)	9781615207572
DOIs	https://doi.org/10.4018/978-1-61520-757-2.ch001
Estat de la publicació	Publicada - 2010

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Alcalá-Fdez, J., Robles, I., Herrera, F., García, S., del Jesus, M. J., Sánchez, L., Bernadó-Mansilla, E., Peregrín, A., & Ventura, S. (2010). Introduction to the experimental design in the data mining tool KEEL. In Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies (pàg. 1-25). IGI Global. https://doi.org/10.4018/978-1-61520-757-2.ch001

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AU - Robles, I.

AU - Herrera, F.

AU - García, S.

AU - del Jesus, M. J.

AU - Sánchez, L.

AU - Bernadó-Mansilla, E.

AU - Peregrín, A.

AU - Ventura, S.

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Introduction to the experimental design in the data mining tool KEEL

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