Subgroup Discovery: Real-World Applications

Date

2011-03-01

Advisors

Journal Title

Journal ISSN

ISSN

DOI

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Publisher

Techincal Report

Type

Technical Report

Peer reviewed

No

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. In this paper, an overview about subgroup discovery is performed. In addition, di erent real-world applications solved through evolutionary algorithms where the suitability and potential of this type of algorithms for the development of subgroup discovery algorithms are presented.

Description

Keywords

Citation

Carmona, C.J. and Elizondo, D. (2011) Subgroup Discovery: Real-World Applications.

Rights

Research Institute

Institute of Artificial Intelligence (IAI)