A hybrid evolutionary algorithm for attribute selection in data mining

Real life data sets are often interspersed with noise, making the subsequent data mining process difficult. The task of the classifier could be simplified by eliminating attributes that are deemed to be redundant for classification, as the retention of only pertinent attributes would reduce the size...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 36; no. 4; pp. 8616 - 8630
Main Authors:	Tan, K.C., Teoh, E.J., Yu, Q., Goh, K.C.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.05.2009
Subjects:	Attribute selection Data mining Evolutionary algorithms Pattern classification Support vector machines Support vector machines Attribute selection Evolutionary algorithms Data mining Pattern classification
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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