Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/706
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dc.contributor.authorGOETHALS, Bart-
dc.contributor.authorVAN DEN BUSSCHE, Jan-
dc.date.accessioned2005-04-11T13:49:14Z-
dc.date.available2005-04-11T13:49:14Z-
dc.date.issued1999-
dc.identifier.citationACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery.-
dc.identifier.urihttp://hdl.handle.net/1942/706-
dc.description.abstractThe concept of inductive database, proposed by Mannila, is a beautiful formalization of the interactive mining process. In the concrete setting of association rule mining, an inductive database provides virtual tables containing virtually all itemsets and rules over the data. The user does not care how these inductive tables are implemented: for him, mining is nothing but querying these tables....-
dc.format.extent158050 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherAssociation for Computing Machinery-
dc.titleA priori versus a posteriori filtering of association rules-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedate1999-
local.bibliographicCitation.conferencenameACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery-
local.type.specifiedProceedings Paper-
dc.bibliographicCitation.oldjcatC2-
local.bibliographicCitation.btitleACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery-
item.accessRightsOpen Access-
item.contributorGOETHALS, Bart-
item.contributorVAN DEN BUSSCHE, Jan-
item.fullcitationGOETHALS, Bart & VAN DEN BUSSCHE, Jan (1999) A priori versus a posteriori filtering of association rules. In: ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery..-
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