Feature Selection: Traditional and Wrapping Techniques with Tabu Search

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-10-05T16:34:01Z
Fecha de publicación2023-01-01
ResumenFeature selection is an important step in improving the performance of machine learning algorithms. This paper describes a comparative study of traditional feature selection techniques and a wrapping technique with tabu search. To validate our wrapper with tabu search approach, we implemented three feature selection techniques: correlation, entropy, and principal component analysis. Nevertheless, to evaluate their performance, we used three classification algorithms: a J48 decision tree, a random forest, and an artificial neural network. We selected five datasets with a large number of features from public repositories. The experimental results showed that the subsets provided by tabu search have high performance with a J48 decision tree. Additionally, tabu search was better ranked than the other feature selection techniques. Finally, we consider that tabu search is a good alternative for feature selection paired with a simple classification algorithm.es_ES
Doihttps://doi.org/10.1007/978-3-031-40688-1_2es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/5783
Idiomaenes_ES
EditorialSpringer Science and Business Media Deutschland GmbHes_ES
RelaciónStudies in Big Dataes_ES
URL relacionadohttps://doi.org/10.1007/978-3-031-40688-1_2es_ES
DerechosAcceso restringido / Suscripción (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_16eces_ES
FuenteStudies in Big Data
Palabra claveDimensionality reductiones_ES
Palabra claveFeature selectiones_ES
Palabra claveMachine learninges_ES
Palabra claveTabu searches_ES
TítuloFeature Selection: Traditional and Wrapping Techniques with Tabu Searches_ES
TipoCapítulo Libroes_ES
ArbitradoHa sido Arbitradoes_ES
AutorBenito-Epigmenio, Laurentino
AutorIbarra-Martínez, Salvador
AutorPonce-Flores, Mirna
AutorCastán-Rocha, José Antonio
AutorBenito-Epigmenio, Laurentinoes_ES
AutorIbarra-Martínez, Salvadores_ES
AutorPonce-Flores, Mirnaes_ES
AutorCastán-Rocha, José Antonioes_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Rango de páginas21-38es_ES
URL relacionadahttps://doi.org/10.1007/978-3-031-40688-1_2
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen134es_ES

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