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Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/11897
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dc.contributor.authorNatarajan, Rajesh
dc.contributor.authorShekar, B
dc.date.accessioned2020-04-27T06:32:52Z-
dc.date.available2020-04-27T06:32:52Z-
dc.date.issued2003
dc.identifier.isbn780381629
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/11897-
dc.description.abstractItems 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.
dc.description.sponsorshipIEEE Region 10
dc.publisherIEEE
dc.subjectKnowledge acquisition
dc.subjectFormal languages
dc.subjectMathematical models
dc.subjectSocieties and institutions
dc.subjectWorld Wide Web
dc.subjectTrees (mathematics)
dc.subjectGeneric category
dc.subjectGeneric interestingness
dc.subjectTaxonomy
dc.subjectData mining
dc.titleA taxonomy-based approach to determining generic interestingness of association rules
dc.typePresentation
dc.relation.conferenceIEEE TENCON 2003: Conference on Convergent Technologies for the Asia-Pacific Region: 15-17 October, 2003, Bangalore, India
dc.relation.publicationIEEE Region 10 Annual International Conference, Proceedings/TENCON-
dc.identifier.doi10.1109/TENCON.2003.1273270
dc.pages703-707p.
dc.vol.noVol.3-
Appears in Collections:2000-2009
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