Incremental multilevel association rule mining of a dynamic database under a change of a minimum support threshold

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dc.contributor.authorPumjun, Nophadon
dc.contributor.authorKreesuradej, Worapoj
dc.date.accessioned2026-08-06T10:13:14Z
dc.date.available2026-08-06T10:13:14Z
dc.date.issued2016-01-01
dc.description.abstractThe proposed algorithm can efficiently deal with multilevel association rules mining of a dynamic database and a current support threshold can be different from the previous task. The experimental results show that the proposed algorithm has better performance than ML-T2 algorithm.
dc.identifier.citationLecture Notes in Electrical Engineering, 354, 87-94, 2016
dc.identifier.doi10.1007/978-3-662-47895-0_11
dc.identifier.issn18761100
dc.identifier.other2-s2.0-84947208698
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/6703
dc.sourceLecture Notes in Electrical Engineering
dc.subjectAssociation rules discovery
dc.subjectData mining
dc.subjectIncremental association rules discovery
dc.subjectMultilevel association rules
dc.titleIncremental multilevel association rule mining of a dynamic database under a change of a minimum support threshold
dc.typeConference Paper

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