Designing Templates for Mining Association Rules

Authors:
Elena Baralis;Giuseppe Psaila
Affiliations:
Politecnico di Torino - Dip. Automatica e Informatica C.so Duca degli Abruzzi 24 - 10129 Torino (Italy). E-mail: baralis@polito.it, psaila@elet.polimi.it;Politecnico di Torino - Dip. Automatica e Informatica C.so Duca degli Abruzzi 24 - 10129 Torino (Italy). E-mail: baralis@polito.it, psaila@elet.polimi.it
Venue:
Journal of Intelligent Information Systems
Year:
1997

Citing 12
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Abstract

Current approaches to data mining usually address specific userrequests, while no general design criteria for the extraction of associationrules are available for the end-user. In this paper, we propose aclassification of association rule types, which provides a general frameworkfor the design of association rule mining applications. Based on theidentified association rule types, we introduce predefined templates as ameans to capture the user specification of mining applications. Furthermore,we propose a general language to design templates for the extraction ofarbitrary association rule types.