Mining Association Rules with Ontological Information

Authors:
Ming-Cheng Tseng;Wen-Yang Lin;Rong Jeng
Affiliations:
-;-;-
Venue:
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
Year:
2007

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Abstract

The problem of mining association rules incorporated with domain knowledge has been studied recently. Previous work was conducted individually on two types of knowledge, classification and composition. In this paper, we revisit this problem from a more unified viewpoint. We consider the problem of mining association rules with ontological information that presents not only classification but also composition relationship. Two effective algorithms are proposed with empirical evaluation displayed.