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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Bibliographic Details

Published in:	Applied artificial intelligence Vol. 31; no. 9-10; pp. 764 - 791
Main Authors:	Spolaôr, Newton, Lorena, Ana Carolina, Diana Lee, Huei
Format:	Journal Article
Language:	English
Published:	Philadelphia Taylor & Francis 26.11.2017 Taylor & Francis Ltd Taylor & Francis Group
Subjects:	Combinatorial analysis Data mining Genetic algorithms Multiple objective analysis Pareto optimization Performance prediction
ISSN:	0883-9514, 1087-6545
Online Access:	Get full text
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