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

Data mining

Mathematical modeling

Analytical research

Computer science

Knowledge discovery

Mining

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