An overview on subgroup discovery: foundations and applications

Authors:
Franciso Herrera;Cristóbal José Carmona;Pedro González;María José del Jesus
Affiliations:
University of Granada, Department of Computer Science and Artificial Intelligence, Granada, Spain;University of Jaen, Department of Computer Science, Jaén, Spain;University of Jaen, Department of Computer Science, Jaén, Spain;University of Jaen, Department of Computer Science, Jaén, Spain
Venue:
Knowledge and Information Systems
Year:
2011

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Abstract

Subgroup discovery is a data mining technique which extracts interesting rules with respect to a target variable. An important characteristic of this task is the combination of predictive and descriptive induction. An overview related to the task of subgroup discovery is presented. This review focuses on the foundations, algorithms, and advanced studies together with the applications of subgroup discovery presented throughout the specialised bibliography.