In their paper [1], S. Brin, R. Matwani and C. Silverstien discussed measuring significance of (generalized) association " rules via the support and the chi-squaxed test for correlation. They provided some illustrative examples and pointed that the chi-squaxed test needs to be agumented by a measure of interest that they also suggested. This paper presents a further elaboration and extension of their discussion. As suggested by Brin et al, the chi-squared test succeeds in measuring the cell dependencies in a 2x2 contingency table. However, it can be misleading in cases of bigger contingency tables. We will give some illustrative examples based on those presented in [1]. We will also propose a more appropriate reliability measure of association rules.
R(is =~ i~) o.02SIGKDD Explorations.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.