Frequent closed multi-dimensional multi-level pattern mining

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dc.contributor.authorSribuaban, Jugkarin
dc.contributor.authorBoonjing, Veera
dc.contributor.authorWerapun, Jeeraporn
dc.date.accessioned2026-08-06T09:57:36Z
dc.date.available2026-08-06T09:57:36Z
dc.date.issued2008-12-01
dc.description.abstractRecently, several efficient frequent closed itemset mining methods have been proposed. Those methods are only able to mine relationship among item information. However, real life colleted data in transaction database usually contain many interesting useful information not only item information but also dimension and hierarchal information. Such information can be used for analysis on knowledge discovery in database system. In this paper, we propose a new method, called frequent closed multi-dimensional multi-level pattern mining, which is suitable for mining frequent patterns in real life information. In additions, we show that 1) our completed frequent closed multidimensional multi-level patterns are smaller than the number of multi-dimensional multi-level frequent patterns and 2) our closed multi-dimensional multi-level patterns represent all patterns of multi-dimensional multi-level in equivalence class with the same support.
dc.identifier.citationProceedings of the 4th IASTED International Conference on Advances in Computer Science and Technology Acst 2008, 201-206, 2008
dc.identifier.other2-s2.0-62649136473
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/2291
dc.sourceProceedings of the 4th IASTED International Conference on Advances in Computer Science and Technology Acst 2008
dc.subjectClosed itemset mining
dc.subjectData mining
dc.subjectMult-ilevel pattern mining
dc.subjectMulti-dimensional
dc.titleFrequent closed multi-dimensional multi-level pattern mining
dc.typeConference Paper

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