Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/6076
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dc.contributor.authorGOETHALS, Bart-
dc.date.accessioned2007-12-20T16:04:42Z-
dc.date.available2007-12-20T16:04:42Z-
dc.date.issued2005-
dc.identifier.citationMaimon, O. & Rokach, L. (Ed.) The data mining and knowldge discovery handbook, p. 377-397.-
dc.identifier.urihttp://hdl.handle.net/1942/6076-
dc.language.isoen-
dc.publisherSPRINGER-
dc.titleFrequent set mining-
dc.typeBook Section-
local.bibliographicCitation.authorsMaimon, O.-
local.bibliographicCitation.authorsRokach, L.-
dc.identifier.epage397-
dc.identifier.spage377-
local.bibliographicCitation.jcatB3-
local.type.specifiedBook Section-
dc.bibliographicCitation.oldjcatB2-
dc.identifier.urlhttp://www.gbv.de/du/services/agi/C42A4653C478B195C12570CA00580350/420000151378-
local.bibliographicCitation.btitleThe data mining and knowldge discovery handbook-
item.fulltextNo Fulltext-
item.contributorGOETHALS, Bart-
item.fullcitationGOETHALS, Bart (2005) Frequent set mining. In: Maimon, O. & Rokach, L. (Ed.) The data mining and knowldge discovery handbook, p. 377-397..-
item.accessRightsClosed Access-
Appears in Collections:Research publications
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