Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/38054
DC FieldValueLanguage
dc.contributor.authorJea, K.F.en_US
dc.contributor.author賈坤芳zh_TW
dc.contributor.authorChang, M.Y.en_US
dc.contributor.authorLin, K.C.en_US
dc.date2004zh_TW
dc.date.accessioned2014-06-06T08:00:27Z-
dc.date.available2014-06-06T08:00:27Z-
dc.identifier.issn0020-0190zh_TW
dc.identifier.urihttp://hdl.handle.net/11455/38054-
dc.language.isoen_USzh_TW
dc.relationInformation Processing Lettersen_US
dc.relation.ispartofseriesInformation Processing Letters, Volume 92, Issue 6, Page(s) 311-316.en_US
dc.relation.urihttp://dx.doi.org/10.1016/j.ipl.2004.09.008en_US
dc.subjectonline algorithmsen_US
dc.subjectdata miningen_US
dc.subjectcombinatorial approximationen_US
dc.subjectthreshold-independenten_US
dc.subjectdatabaseen_US
dc.titleAn efficient and flexible algorithm for online mining of large itemsetsen_US
dc.typeJournal Articlezh_TW
dc.identifier.doi10.1016/j.ipl.2004.09.008zh_TW
item.languageiso639-1en_US-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeJournal Article-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextno fulltext-
Appears in Collections:資訊科學與工程學系所
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