Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/7313
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dc.contributor.authorGOETHALS, Bart-
dc.contributor.authorZaki, Mohammed J.-
dc.date.accessioned2007-12-20T16:15:01Z-
dc.date.available2007-12-20T16:15:01Z-
dc.date.issued2004-
dc.identifier.citationACM SIGKDD explorations, 6(1). p. 109-117-
dc.identifier.issn1931-0145-
dc.identifier.urihttp://hdl.handle.net/1942/7313-
dc.language.isoen-
dc.publisherACM Press-
dc.titleAdvances in frequent itemset mining implementations: report of FIMI'03-
dc.typeJournal Contribution-
dc.identifier.epage117-
dc.identifier.issue1-
dc.identifier.spage109-
dc.identifier.volume6-
local.bibliographicCitation.jcatA2-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA2-
local.classdsPublValOverrule/no_publishing_delay-
dc.identifier.urlhttp://doi.acm.org/10.1145/1007744-
item.accessRightsClosed Access-
item.contributorGOETHALS, Bart-
item.contributorZaki, Mohammed J.-
item.fullcitationGOETHALS, Bart & Zaki, Mohammed J. (2004) Advances in frequent itemset mining implementations: report of FIMI'03. In: ACM SIGKDD explorations, 6(1). p. 109-117.-
item.fulltextNo Fulltext-
crisitem.journal.issn1931-0145-
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