Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/123456789/10969
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dc.contributor.advisorShekar, B.
dc.contributor.authorSethi, Rupal
dc.date.accessioned2017-10-07T10:40:37Z
dc.date.accessioned2019-05-27T09:17:51Z-
dc.date.available2017-10-07T10:40:37Z
dc.date.available2019-05-27T09:17:51Z-
dc.date.issued2017
dc.identifierWP-IIMB-545-
dc.identifier.urihttp://repository.iimb.ac.in/handle/123456789/10969
dc.description.abstractThis work presents unaddressed issues in the field of Association Rule Mining (ARM).Looking at the previous literature of varied areas and applications of ARM, we identify three broad categories of ARM where the research is still in the nascent stage. We review papers in the three categories of fuzzy association rules, multilevel association rules and negative association rules to study the state-of-art research conceptually and algorithmically. As a result, we provide a compendium of gaps and unaddressed issues in these domains using our understanding of ARM and interestingness.
dc.language.isoen_US
dc.publisherIndian Institute of Management Bangalore
dc.relation.ispartofseriesWorking Paper-FPM
dc.subjectAssociation rules
dc.subjectFuzziness
dc.subjectMultilevel
dc.subjectNegative rules
dc.subjectInterestingness
dc.subjectMarket, Basket analysis
dc.titleIssues in association rule mining and interestingness
dc.typeWorking Paper-FPM
dc.pages13p.
Appears in Collections:2017
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