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Article
Evolutionary algorithms for data mining
Genetic Programming and Evolvable Machines
  • Poierre COLLET, Université de Strasbourg, France
  • Man Leung WONG, Lingnan University, Hong Kong
Document Type
Journal article
Publication Date
1-1-2012
Disciplines
Abstract
Artificial evolution can be applied to machine learning thanks to genetic programming, for instance, which is a very successful branch of Evolutionary Computing. One would therefore think that by transitivity, because data-mining is one of the main applications of machine learning, artificial evolution could be successful in solving data-mining problems. Whether this is the case or not, it seems that artificial evolution is not much used in data-mining, even though many papers show that EC can provide interesting alternative solutions to standard machine learning approaches.
DOI
10.1007/s10710-011-9156-z
E-ISSN
15737632
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Copyright © Springer Science+Business Media, LLC 2012

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Citation Information
Collet, P., & Wong, M. L. (2012). Evolutionary algorithms for data mining. Genetic Programming and Evolvable Machines, 13(1), 69-70. doi: 10.1007/s10710-011-9156-z