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Artículo
Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches
dc.creator | Ruiz, Roberto | es |
dc.creator | Riquelme Santos, José Cristóbal | es |
dc.creator | García Torres, M. | es |
dc.date.accessioned | 2016-07-12T08:35:04Z | |
dc.date.available | 2016-07-12T08:35:04Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Ruíz, R., Riquelme Santos, J.C. y García Torres, M. (2012). Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches. Expert Systems with Applications, 39 (12), 11094-11102. | |
dc.identifier.issn | 0957-4174 | es |
dc.identifier.uri | http://hdl.handle.net/11441/43498 | |
dc.description.abstract | We address the feature subset selection problem for classification tasks. We examine the performance of two hybrid strategies that directly search on a ranked list of features and compare them with two widely used algorithms, the fast correlation based filter (FCBF) and sequential forward selection (SFS). The pro-posed hybrid approaches provide the possibility of efficiently applying any subset evaluator, with a wrap-per model included, to large and high-dimensional domains. The experiments performed show that our two strategies are competitive and can select a small subset of features without degrading the classifica-tion error or the advantages of the strategies under study. | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Expert Systems with Applications, 39 (12), 11094-11102. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches | es |
dc.type | info:eu-repo/semantics/article | es |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.eswa.2012.03.061 | |
dc.identifier.doi | 10.1016/j.eswa.2012.03.061 | es |
idus.format.extent | 9 | es |
dc.journaltitle | Expert Systems with Applications | es |
dc.publication.volumen | 39 | es |
dc.publication.issue | 12 | es |
dc.publication.initialPage | 11094 | es |
dc.publication.endPage | 11102 | es |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/43498 |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Fast festure selection aimed.pdf | 562.4Kb | [PDF] | Ver/ | |