Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns

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Show simple item record Zheng, Zhigang en_US Zhao, Yanchang en_US Zuo, Ziye en_US Cao, Longbing en_US
dc.contributor.editor Paul J. Kennedy; Kok-Leong Ong; Peter Christen en_US 2010-05-28T10:00:06Z 2010-05-28T10:00:06Z 2009 en_US
dc.identifier 2009001494 en_US
dc.identifier.citation Zheng Zhigang et al. 2009, 'Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns', Australian Computer Society, Sysney, NSW, Australia, pp. 63-67. en_US
dc.identifier.issn 9781920682828 en_US
dc.identifier.other E1 en_US
dc.description.abstract Different from traditional positive sequential pattern mining, negative sequential pattern mining considers both positive and negative relationships between items. Negative sequential pattern mining doesn't necessarily follow the Apriori principle, and the searching space is much larger than positive pattern mining. Giving definitions and some constraints of negative sequential patterns, this paper proposes a new method for mining negative sequential patterns, called Negative-GSP. Negative-GSP can find negative sequential patterns effectively and efficiently by joining and pruning, and extensive experimental results show the efficiency of the method. en_US
dc.language English en_US
dc.publisher Australian Computer Society en_US
dc.relation.isbasedon NA en_US
dc.rights Copyright© Australian Computer Society Inc
dc.title Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns en_US
dc.parent Proceedings of the 8th Australasian Data Mining Conference (AusDM'09): Data Mining and Analytics - Conferences in Research and Practice in Information Technology Volume 101 en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Sysney, NSW, Australia en_US
dc.identifier.startpage 63 en_US
dc.identifier.endpage 67 en_US FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 080109 en_US
dc.personcode 111832 en_US
dc.personcode 998488 en_US
dc.personcode 10783532 en_US
dc.personcode 034535 en_US
dc.percentage 55 en_US Pattern Recognition and Data Mining en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom Australian Data Mining Conference en_US 20091201 en_US
dc.location.activity Melbourne, Australia en_US
dc.description.keywords Negative Sequential Pattern, Sequence Mining, Data Mining en_US
dc.staffid en_US
dc.staffid 034535 en_US

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