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

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dc.contributor.author Zheng, Z
dc.contributor.author Zhao, Y
dc.contributor.author Zuo, Z
dc.contributor.author Cao, L
dc.contributor.editor Kennedy, PJ
dc.contributor.editor Ong, KL
dc.contributor.editor Christen, P
dc.date.accessioned 2010-05-28T10:00:06Z
dc.date.issued 2009-01
dc.identifier.citation Proceedings of the 8th Australasian Data Mining Conference (AusDM'09): Data Mining and Analytics - Conferences in Research and Practice in Information Technology Volume 101, 2009, pp. 63 - 67
dc.identifier.isbn 9781920682828
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/10869
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.
dc.publisher Australian Computer Society
dc.rights Copyright© Australian Computer Society Inc
dc.title Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns
dc.type Conference Proceeding
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
dc.journal.number en_US
dc.publocation Sysney, NSW, Australia en_US
dc.identifier.startpage 63 en_US
dc.identifier.endpage 67 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.conference Australian Data Mining Conference
dc.for 080101 Adaptive Agents and Intelligent Robotics
dc.for 080110 Simulation and Modelling
dc.for 080109 Pattern Recognition and Data Mining
dc.personcode 034535
dc.personcode 998488
dc.personcode 111832
dc.percentage 55 en_US
dc.classification.name 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
dc.date.activity 20091201 en_US
dc.date.activity 2009-12-01
dc.location.activity Melbourne, Australia en_US
dc.description.keywords Negative Sequential Pattern, Sequence Mining, Data Mining en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
utslib.collection.history General (ID: 2)


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