Evolutionary algorithms for data mining
Document Type
Journal article
Source Publication
Genetic Programming and Evolvable Machines
Publication Date
1-1-2012
Volume
13
Issue
1
First Page
69
Last Page
70
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
Print ISSN
13892576
E-ISSN
15737632
Publisher Statement
Copyright © Springer Science+Business Media, LLC 2012
Access to external full text or publisher's version may require subscription.
Full-text Version
Publisher’s Version
Language
English
Recommended Citation
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
