PADS: A simple yet effective pattern-aware dynamic search method for fast maximal frequent pattern mining

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dc.contributor.author Zeng, Xh en_US
dc.contributor.author Pei, J en_US
dc.contributor.author Wang, K en_US
dc.contributor.author Li, Jinyan en_US
dc.contributor.editor en_US
dc.date.accessioned 2012-02-02T10:23:46Z
dc.date.available 2012-02-02T10:23:46Z
dc.date.issued 2009 en_US
dc.identifier 2010006983 en_US
dc.identifier.citation Zeng Xh et al. 2009, 'PADS: A simple yet effective pattern-aware dynamic search method for fast maximal frequent pattern mining', Springer London Ltd, vol. 20, no. 3, pp. 375-391. en_US
dc.identifier.issn 0219-1377 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/15227
dc.description.abstract While frequent pattern mining is fundamental for many data mining tasks, mining maximal frequent patterns efficiently is important in both theory and applications of frequent pattern mining. The fundamental challenge is how to search a large space of ite en_US
dc.language en_US
dc.publisher Springer London Ltd en_US
dc.relation.hasversion Accepted manuscript version
dc.relation.isbasedon http://dx.doi.org/10.1007/s10115-008-0179-6 en_US
dc.title PADS: A simple yet effective pattern-aware dynamic search method for fast maximal frequent pattern mining en_US
dc.parent Knowledge And Information Systems en_US
dc.journal.volume 20 en_US
dc.journal.number 3 en_US
dc.publocation Artington en_US
dc.identifier.startpage 375 en_US
dc.identifier.endpage 391 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 080100 en_US
dc.personcode 0000072013 en_US
dc.personcode 0000072014 en_US
dc.personcode 0000072015 en_US
dc.personcode 112261 en_US
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords DISCOVERY en_US
dc.staffid en_US
dc.staffid 112261 en_US


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