Feature Selection via Pareto Multi-objective Genetic Algorithms

Feature selection, an important combinatorial optimization problem in data mining, aims to find a reduced subset of features of high quality in a dataset. Different categories of importance measures can be used to estimate the quality of a feature subset. Since each measure provides a distinct persp...

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Vydané v:	Applied artificial intelligence Ročník 31; číslo 9-10; s. 764 - 791
Hlavní autori:	Spolaôr, Newton, Lorena, Ana Carolina, Diana Lee, Huei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Philadelphia Taylor & Francis 26.11.2017 Taylor & Francis Ltd Taylor & Francis Group
Predmet:	Combinatorial analysis Data mining Genetic algorithms Multiple objective analysis Pareto optimization Performance prediction
ISSN:	0883-9514, 1087-6545
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