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Conference Paper: Exploiting the Duality of Maximal Frequent Itemsets and Minimal Infrequent Itemsets for I/O Efficient Association Rule Mining

TitleExploiting the Duality of Maximal Frequent Itemsets and Minimal Infrequent Itemsets for I/O Efficient Association Rule Mining
Authors
Loo, KKYip, CLKao, CMCheung, DWL
Issue Date2000
Citation
Proceedings of the 11th International Conference on Database and Expert Systems Applications (DEXA 2000), p. 10pp How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/93203

 

DC FieldValueLanguage
dc.contributor.authorLoo, KKen_HK
dc.contributor.authorYip, CLen_HK
dc.contributor.authorKao, CMen_HK
dc.contributor.authorCheung, DWLen_HK
dc.date.accessioned2010-09-25T14:54:01Z-
dc.date.available2010-09-25T14:54:01Z-
dc.date.issued2000en_HK
dc.identifier.citationProceedings of the 11th International Conference on Database and Expert Systems Applications (DEXA 2000), p. 10ppen_HK
dc.identifier.urihttp://hdl.handle.net/10722/93203-
dc.languageengen_HK
dc.relation.ispartofProceedings of the 11th International Conference on Database and Expert Systems Applications (DEXA 2000)en_HK
dc.titleExploiting the Duality of Maximal Frequent Itemsets and Minimal Infrequent Itemsets for I/O Efficient Association Rule Miningen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailLoo, KK: kkloo@csis.hku.hken_HK
dc.identifier.emailYip, CL: clyip@cs.hku.hken_HK
dc.identifier.emailKao, CM: kao@cs.hku.hken_HK
dc.identifier.emailCheung, DWL: dcheung@cs.hku.hken_HK
dc.identifier.authorityYip, CL=rp00205en_HK
dc.identifier.authorityKao, CM=rp00123en_HK
dc.identifier.authorityCheung, DWL=rp00101en_HK
dc.identifier.hkuros57315en_HK
dc.identifier.spage10en_HK

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