Title :
A taxonomy-based approach to determining generic interestingness of association rules
Author :
Natarajan, Rajesh ; Shekai, B.
Author_Institution :
Quantitative Methods & Inf. Syst. Area, Indian Inst. of Manage. 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.
Keywords :
data mining; database management systems; association rule mining; data mining; generic category; generic interestingness; item-relatedness; large database; similarity measure; taxonomy; usage contexts; Association rules; Data mining; Management information systems; Marketing and sales; Taxonomy; Transaction databases;
Conference_Titel :
TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
Print_ISBN :
0-7803-8162-9
DOI :
10.1109/TENCON.2003.1273270
