Mining Association Rules in Preference-Ordered Data

Authors:
Salvatore Greco;Roman Slowinski;Jerzy Stefanowski
Affiliations:
-;-;-
Venue:
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
Year:
2002

Citing 5
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Abstract

Problems of discovering association rules in data sets containing semantic information about preference orders on domains of attributes are considered. Such attributes are called criteria and they are typically present in data related to economic issues, like financial or marketing data. We introduce a specific form of association rules involving criteria. Discovering such rules requires new concepts: semantic correlation of criteria, inconsistency of objects with respect to the dominance, credibility index. Properties of these rules concerning their generality and interdependencies are studied. We also sketch the way of mining such rules.