A Survey on Evolutionary Computation Approaches to Feature Selection

Feature selection is an important task in data mining and machine learning to reduce the dimensionality of the data and increase the performance of an algorithm, such as a classification algorithm. However, feature selection is a challenging task due mainly to the large search space. A variety of me...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 20; H. 4; S. 606 - 626
Hauptverfasser:	Bing Xue, Mengjie Zhang, Browne, Will N., Xin Yao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Classification Computational efficiency Data mining Drafting Evolutionary algorithms Evolutionary computation Feature extraction feature selection Guidelines Machine learning Machine learning algorithms Optimization Production planning Search problems Searching State of the art Tasks
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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