Interestingness measures for association rules within groups

Article type: Research Article

Authors: da Jiménez, Aí^{; *} | Berzal, Fernando | Cubero, Juan-Carlos

Affiliations: Department of Computer Science and Artificial Intelligence, CITIC, University of Granada, Granada, Spain

Correspondence: [*] Corresponding author: Aí da Jiménez, Department of Computer Science and Artificial Intelligence, CITIC, University of Granada, Granada 18071, Spain. E-mail: [email protected].

Abstract: The work described in this paper addresses the study of association rules within groups of individuals. The analysis of the characteristics and the behavior of the individuals belonging to such groups in a given database is powerful in practice, since it provides a mechanism to deal with groups rather than isolated individuals. In this paper, we define group association rules and we study interestingness measures for them. These interestingness measures can be used to rank, not only groups of individuals, but also rules within each group. We also compare the rankings provided by those different interestingness measures in order to determine which one provides a better alternative depending on the kind of situations we wish to highlight within large databases with many different (and overlapping) groups of individuals.

Keywords: Group association rules, interestingness measures

DOI: 10.3233/IDA-130574

Journal: Intelligent Data Analysis, vol. 17, no. 2, pp. 195-215, 2013