Title

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

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