A note on "beyond market baskets

Author:

Ahmed Khalil M.1,El-Makky Nagwa M.1,Taha Yousry1

Affiliation:

1. Alexandria University, Alex., Egypt

Abstract

In their paper [1], S. Brin, R. Matwani and C. Silverstien discussed measuring significance of (generalized) association rules via the support and the chi-squared test for correlation. They provided some illustrative examples and pointed that the chi-squared 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.

Publisher

Association for Computing Machinery (ACM)

Reference4 articles.

1. Beyond market baskets

2. Dynamic itemset counting and implication rules for market basket data

3. W. C. Guenther. Concepts of Statistical Inference. Mc Graw-Hill Inc. N.Y. second edition 1973. W. C. Guenther. Concepts of Statistical Inference. Mc Graw-Hill Inc. N.Y. second edition 1973.

4. R. F. Woolson. Statistical Methods for the Analysis of Biomedical Data. John Wiley & Sons Inc. N.Y. 1987. R. F. Woolson. Statistical Methods for the Analysis of Biomedical Data. John Wiley & Sons Inc. N.Y. 1987.

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