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Conference Paper: Maintenance of discovered association rules in large databases: an incremental updating technique

TitleMaintenance of discovered association rules in large databases: an incremental updating technique
Authors
Cheung, DWLHan, JNg, VWong, CY
KeywordsComputers
Computer engineering
Issue Date1996
PublisherIEEE Computer Society.
Citation
The 12th International Conference on Data Engineering, New Orleans, LA., 26 February-1 March 1996. In International Conference on Data Engineering Proceedings, 1996, p. 106-114 How to Cite?
DOI: http://dx.doi.org/10.1109/ICDE.1996.492094
AbstractAn incremental updating technique is developed for maintenance of the association rules discovered by database mining. There have been many studies on efficient discovery of association rules in large databases. However, it is nontrivial to maintain such discovered rules in large databases because a database may allow frequent or occasional updates and such updates may not only invalidate some existing strong association rules but also turn some weak rules into strong ones. An incremental updating technique is proposed for efficient maintenance of discovered association rules when new transaction data are added to a transaction database.
Persistent Identifierhttp://hdl.handle.net/10722/45551
ISSN
1084-4627
2023 SCImago Journal Rankings: 1.306
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorCheung, DWLen_HK
dc.contributor.authorHan, Jen_HK
dc.contributor.authorNg, Ven_HK
dc.contributor.authorWong, CYen_HK
dc.date.accessioned2007-10-30T06:28:59Z-
dc.date.available2007-10-30T06:28:59Z-
dc.date.issued1996en_HK
dc.identifier.citationThe 12th International Conference on Data Engineering, New Orleans, LA., 26 February-1 March 1996. In International Conference on Data Engineering Proceedings, 1996, p. 106-114en_HK
dc.identifier.issn1084-4627en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45551-
dc.description.abstractAn incremental updating technique is developed for maintenance of the association rules discovered by database mining. There have been many studies on efficient discovery of association rules in large databases. However, it is nontrivial to maintain such discovered rules in large databases because a database may allow frequent or occasional updates and such updates may not only invalidate some existing strong association rules but also turn some weak rules into strong ones. An incremental updating technique is proposed for efficient maintenance of discovered association rules when new transaction data are added to a transaction database.en_HK
dc.languageengen_HK
dc.publisherIEEE Computer Society.en_HK
dc.relation.ispartofInternational Conference on Data Engineering Proceedings-
dc.rights©1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectComputersen_HK
dc.subjectComputer engineeringen_HK
dc.titleMaintenance of discovered association rules in large databases: an incremental updating techniqueen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1084-4627&volume=&spage=106&epage=114&date=1996&atitle=Maintenance+of+discovered+association+rules+in+large+databases:+anincremental+updating+techniqueen_HK
dc.identifier.emailCheung, DWL: dcheung@cs.hku.hk-
dc.identifier.authorityCheung, David W=rp00101-
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICDE.1996.492094en_HK
dc.identifier.scopuseid_2-s2.0-0029733589-
dc.identifier.hkuros12631-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0029733589&selection=ref&src=s&origin=recordpage-
dc.identifier.spage106-
dc.identifier.epage114-
dc.identifier.scopusauthoridCheung, David W=34567902600-
dc.identifier.scopusauthoridHan, Jiawei=24325399900-
dc.identifier.scopusauthoridNg, Vincent T=7102162966-
dc.identifier.scopusauthoridWong, CY=36485854000-
dc.identifier.citeulike2201990-
dc.customcontrol.immutablesml 151026 - merged-
dc.identifier.issnl1084-4627-

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