A relatedness-based data-driven approach to determination of interestingness of association rules

Authors:
Rajesh Natarajan;B. Shekar
Affiliations:
Indian Institute of Management Lucknow, Lucknow, India;Indian Institute of Management Bangalore, Bangalore, India
Venue:
Proceedings of the 2005 ACM symposium on Applied computing
Year:
2005

Citing 4
Cited 0

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Abstract

The presence of unrelated or weakly related item-pairs can help in identifying Interesting Association Rules (ARs) in a market basket. We introduce three measures for capturing the extent of mutual interaction, substitutive and complementary relationships between two items. Item-relatedness, a composite of these relationships, can help to rank interestingness of an AR. The approach presented, is intuitive and can complement and enhance classical objective measures of interestingness.