Multi-objective evolutionary algorithms for feature selection : application in bankruptcy prediction

A Multi-Objective Evolutionary Algorithm (MOEA) was adapted in order to deal with problems of feature selection in datamining. The aim is to maximize the accuracy of the classifier and/or to minimize the errors produced while minimizing the number of features necessary. A Support Vector Machines (SV...

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Detalhes bibliográficos
Autor principal: Gaspar-Cunha, A. (author)
Outros Autores: Mendes, F. (author), Duarte, J. (author), Vieira, Armando (author), Ribeiro, Bernardete (author), Ribeiro, André M. S. (author), Neves, João Carvalho (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2010
Assuntos:
Multi-Objective
Evolutionary algorithms
Feature selection
Bankruptcy prediction
Science & Technology
Texto completo:http://hdl.handle.net/1822/18838
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/18838

Texto Completo

http://hdl.handle.net/1822/18838

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