Journal
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
Volume 4, Issue 2, Pages 87-103Publisher
WILEY PERIODICALS, INC
DOI: 10.1002/widm.1118
Keywords
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Funding
- Spanish Ministry of Economy and Competitiveness [TIN2012-33856]
- Spanish Ministry of Education and Science [TIN2010-15055, TIN2011-28488]
- Andalusian Research Plans [TIC-3928, P11-TIC-7765, P10-TIC-6858]
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Subgroup discovery (SD) is a descriptive data mining technique using supervised learning. In this article, we review the use of evolutionary algorithms (EAs) for SD. In particular, we will focus on the suitability and potential of the search performed by EAs in the development of SD algorithms. Future directions in the use of EAs for SD are also presented in order to show the advantages and benefits that this search strategy contribute to this task. Conflict of interest: The authors have declared no conflicts of interest for this article. For further resources related to this article, please visit the .
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