Evolutionary algorithms for data mining

Poierre COLLET, Man Leung WONG

Research output: Journal PublicationsJournal Article (refereed)Researchpeer-review

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.
Original languageEnglish
Pages (from-to)69-70
Number of pages2
JournalGenetic Programming and Evolvable Machines
Volume13
Issue number1
DOIs
Publication statusPublished - 1 Jan 2012

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Evolutionary algorithms
Data mining
Learning systems
Evolutionary Algorithms
Data Mining
Machine Learning
Evolutionary Computing
Genetic programming
Transitivity
Genetic Programming
Branch
Alternatives
Standards

Cite this

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Evolutionary algorithms for data mining. / COLLET, Poierre; WONG, Man Leung.

In: Genetic Programming and Evolvable Machines, Vol. 13, No. 1, 01.01.2012, p. 69-70.

Research output: Journal PublicationsJournal Article (refereed)Researchpeer-review

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