This document outlines the measures to assess association rules proposed by the A PRIORI MR and SPV ASSOC RULE components. They come from studies reported in several publications of A. Morineau and R. Rakotomalala.
A measure characterizes the relevance of a rule. It can be used to rank them. It should also help to discern those that are "significantly interesting" from those who are irrelevant. This last point is totally prospective. There is no really satisfactory solution at this time.
The A PRIORI MR and the SPV ASSOC RULE components are experimental tools for the evaluation of the rules extracted by the association rule induction algorithm. They allow to evaluate the rules using measures based on the test value principle.
Keywords: association rules, interestingness measure, test value
Components: A PRIORI MR, SPV ASSOC RULE
Tutorial: en_Tanagra_APrioriMR_Measures.pdf
References:
R. Rakotomalala, A. Morineau, 2008. “The TVpercent principle for the counterexamples statistic”, in Statistical Implicative Analysis, Studies in Computational Intelligence Series, 127, 449-462, Springer, 2008 -- http://www.springerlink.com/content/g245317206950529/
Wikipedia, "Association rule learning"
