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

Producción científica: Capítulo del libro › Capítulo › revisión exhaustiva

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Resumen

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	Inglés
Título de la publicación alojada	Intelligent Soft Computation and Evolving Data Mining
Subtítulo de la publicación alojada	Integrating Advanced Technologies
Editorial	IGI Global
Páginas	1-25
Número de páginas	25
ISBN (versión impresa)	9781615207572
DOI	https://doi.org/10.4018/978-1-61520-757-2.ch001
Estado	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. En Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies (pp. 1-25). IGI Global. https://doi.org/10.4018/978-1-61520-757-2.ch001

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AU - Sánchez, L.

AU - Bernadó-Mansilla, E.

AU - Peregrín, A.

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Introduction to the experimental design in the data mining tool KEEL

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