The interestingness of association rules

Tsau Young Lin; Sasmita Mishra

doi:10.1117/12.485681

21 March 2003 The interestingness of association rules

Tsau Young Lin, Sasmita Mishra

Proceedings Volume 5098, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V; (2003) https://doi.org/10.1117/12.485681
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

The observation that isomorphic relations have isomorphic high frequency patterns implies some unexpected properties about the association rules. First of all, the patterns are properties of the isomorphic class, not an individual relation. Second, those countings on itemsets, association rules and etc. are invariants under isomorphism, and hence the probability theory based such countings is again a theory of the whole class, not an individual relation. On the other hand, examples show that "interesting-ness" (of association rules) are properties of an individual relation, not the whole isomorphic class. As a corollary, contrary to many authors beliefs, we conclude that interestingness cannot be characterized by such a probability theory.

Citation Download Citation

Tsau Young Lin and Sasmita Mishra "The interestingness of association rules", Proc. SPIE 5098, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V, (21 March 2003); https://doi.org/10.1117/12.485681

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