Closed multidimensional sequential pattern mining

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dc.contributor.authorSongram, Panida
dc.contributor.authorBoonjing, Veera
dc.contributor.authorIntakosum, Sarun
dc.date.accessioned2026-08-06T09:54:21Z
dc.date.available2026-08-06T09:54:21Z
dc.date.issued2006-11-14
dc.description.abstractWe propose a new method, called closed multidimensional sequential pattern mining, for mining multidimensional sequential patterns. The new method is an integration of closed sequential pattern mining and closed itemset pattern mining. Based on this method, we show that (1) the number of complete closed multidimensional sequential patterns is not larger than the number of complete multidimensional sequential patterns (2) the set of complete closed multidimensional sequential patterns covers the complete resulting set of multidimensional sequential patterns. In addition, mining using closed itemset pattern mining on multidimensional information would mine only multidimensional information associated with mined closed sequential patterns, and mining using closed sequential pattern mining on sequences would mine only sequences associated with mined closed itemset patterns. © 2006 IEEE.
dc.identifier.citationProceedings Third International Conference Oninformation Technology New Generations Itng 2006, 2006, 512-517, 2006
dc.identifier.doi10.1109/ITNG.2006.41
dc.identifier.other2-s2.0-33750827259
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/1357
dc.sourceProceedings Third International Conference Oninformation Technology New Generations Itng 2006
dc.subjectClosed pattern mining
dc.subjectData mining
dc.subjectMultidimensional pattern mining
dc.titleClosed multidimensional sequential pattern mining
dc.typeConference Paper

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