Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/7360
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCalders, T.-
dc.contributor.authorGOETHALS, Bart-
dc.date.accessioned2007-12-20T16:15:29Z-
dc.date.available2007-12-20T16:15:29Z-
dc.date.issued2002-
dc.identifier.citationProceedings of the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02). p. 74-85-
dc.identifier.isbn3-540-44037-2-
dc.identifier.urihttp://hdl.handle.net/1942/7360-
dc.language.isoen-
dc.publisherBerlin Springer-
dc.relation.ispartofseriesLecture Notes In Computer Science-
dc.titleMining all non-derivable frequent itemsets-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencename6th European Conference on Principles of Data Mining and Knowledge Discovery-
dc.identifier.epage85-
dc.identifier.spage74-
local.bibliographicCitation.jcatC1-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr2431-
dc.bibliographicCitation.oldjcatC2-
local.bibliographicCitation.btitleProceedings of the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02)-
item.fullcitationCalders, T. & GOETHALS, Bart (2002) Mining all non-derivable frequent itemsets. In: Proceedings of the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02). p. 74-85.-
item.fulltextWith Fulltext-
item.contributorCalders, T.-
item.contributorGOETHALS, Bart-
item.accessRightsClosed Access-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
mining all.pdf213.84 kBAdobe PDFView/Open
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.