Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/11897
Title: A taxonomy-based approach to determining generic interestingness of association rules
Authors: Natarajan, Rajesh 
Shekar, B 
Keywords: Knowledge acquisition;Formal languages;Mathematical models;Societies and institutions;World Wide Web;Trees (mathematics);Generic category;Generic interestingness;Taxonomy;Data mining
Issue Date: 2003
Publisher: IEEE
Related Publication: IEEE Region 10 Annual International Conference, Proceedings/TENCON
Conference: IEEE TENCON 2003: Conference on Convergent Technologies for the Asia-Pacific Region: 15-17 October, 2003, Bangalore, India 
Abstract: Items are related to each other either because of the generic category to which they belong or due to their usage contexts. We describe four notions of item-relatedness based on relationships existing between them using a taxonomy. We combine two of them to get a new measure of item relatedness. We compare and contrast this measure with a traditional taxonomy-based similarity measure. Interestingness of an association rule is then inversely proportional to the least-related item pair in the rule.
URI: https://repository.iimb.ac.in/handle/2074/11897
ISBN: 780381629
DOI: 10.1109/TENCON.2003.1273270
Appears in Collections:2000-2009

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