DocumentCode
404779
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
Volume
2
fYear
2003
fDate
15-17 Oct. 2003
Firstpage
703
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;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
Print_ISBN
0-7803-8162-9
Type
conf
DOI
10.1109/TENCON.2003.1273270
Filename
1273270
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