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 |
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.