Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/8504
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dc.contributor.authorCalders, T-
dc.contributor.authorGOETHALS, Bart-
dc.date.accessioned2008-10-03T09:43:52Z-
dc.date.available2008-10-03T09:43:52Z-
dc.date.issued2006-
dc.identifier.citationKNOWLEDGE DISCOVERY IN INDUCTIVE DATABASES. p. 86-103-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/1942/8504-
dc.description.abstractMany data mining algorithms make use of the well-known Inclusion-Exclusion principle. As a consequence, using this principle efficiently is crucial for the success of all these algorithms. Especially in the context of condensed representations, such as NDI, and in computing interesting measures, a quick inclusion-exclusion algorithm can be crucial for the performance. In this paper, we give an overview of several algorithms that depend on the inclusion-exclusion principle and propose an efficient algorithm to use it and evaluate its complexity. The theoretically obtained results axe supported by experimental evaluation of the quick IE technique in isolation, and of an example application.-
dc.language.isoen-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.relation.ispartofseriesLECTURE NOTES IN COMPUTER SCIENCE-
dc.titleQuick inclusion-exclusion-
dc.typeJournal Contribution-
local.bibliographicCitation.conferencenameKNOWLEDGE DISCOVERY IN INDUCTIVE-
dc.identifier.epage103-
dc.identifier.spage86-
local.format.pages18-
local.bibliographicCitation.jcatA1-
dc.description.notesUniv Antwerp, B-2020 Antwerp, Belgium.-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.relation.ispartofseriesnr3933-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.isi000237245300006-
item.contributorGOETHALS, Bart-
item.contributorCalders, T-
item.fulltextNo Fulltext-
item.fullcitationCalders, T & GOETHALS, Bart (2006) Quick inclusion-exclusion. In: KNOWLEDGE DISCOVERY IN INDUCTIVE DATABASES. p. 86-103.-
item.accessRightsClosed Access-
crisitem.journal.issn0302-9743-
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