Interactive Constrained Association Rule Mining

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dc.creatorGoethals, Bart
dc.creatorBussche, Jan Van den
dc.date2001-12-10
dc.date2003-02-05
dc.date.accessioned2026-07-07T03:18:01Z
dc.date.available2026-07-07T03:18:01Z
dc.descriptionWe investigate ways to support interactive mining sessions, in the setting of association rule mining. In such sessions, users specify conditions (queries) on the associations to be generated. Our approach is a combination of the integration of querying conditions inside the mining phase, and the incremental querying of already generated associations. We present several concrete algorithms and compare their performance.
dc.descriptionA preliminary report on this work was presented at the Second International Conference on Knowledge Discovery and Data Mining (DaWaK 2000)
dc.identifierhttps://arxiv.org/abs/cs/0112011
dc.identifierhttp://arxiv.org/abs/cs/0112011
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30945
dc.subjectDatabases
dc.subjectArtificial Intelligence
dc.subjectH.2.8
dc.titleInteractive Constrained Association Rule Mining
dc.typetext

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