Premium
Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms
Author(s) -
Carmona Cristóbal J.,
González Pedro,
del Jesus María José,
Herrera Francisco
Publication year - 2014
Publication title -
wiley interdisciplinary reviews: data mining and knowledge discovery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.506
H-Index - 47
eISSN - 1942-4795
pISSN - 1942-4787
DOI - 10.1002/widm.1118
Subject(s) - evolutionary algorithm , computer science , machine learning , task (project management) , artificial intelligence , order (exchange) , algorithm , data science , engineering , economics , systems engineering , finance
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. This article is categorized under: Technologies > Computational Intelligence