Activity mining: Challenges and prospects

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dc.contributor.author Cao, Longbing en_US
dc.contributor.editor Li, X; Zaiane, O; Li, Z en_US
dc.date.accessioned 2009-11-09T02:45:51Z
dc.date.available 2009-11-09T02:45:51Z
dc.date.issued 2006 en_US
dc.identifier 2006004092 en_US
dc.identifier.citation Cao Longbing 2006, 'Activity mining: Challenges and prospects', Springer-Verlag Berlin, Berlin, Germany, pp. 582-593. en_US
dc.identifier.issn 0302-9743 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/1963
dc.description.abstract Activity data accumulated in real life, e.g. in terrorist activities and fraudulent customer contacts, presents special structural and semantic complexities. However, it may lead to or be associated with significant business impacts. For instance, a seri en_US
dc.publisher Springer-Verlag Berlin en_US
dc.relation.isbasedon http://dx.doi.org/10.1007/11811305_65 en_US
dc.title Activity mining: Challenges and prospects en_US
dc.parent Advanced Data Mining And Applications, Proceedings, Lecture Notes in Artificial Intelligence en_US
dc.journal.volume 4093 en_US
dc.journal.number en_US
dc.publocation Berlin, Germany en_US
dc.identifier.startpage 582 en_US
dc.identifier.endpage 593 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.conference.location Xi'an, China en_US
dc.for 080100 en_US
dc.personcode 034535 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.custom International Conference on Advanced Data Mining and Applications en_US
dc.date.activity 20060814 en_US
dc.location.activity Xi'an, China en_US
dc.description.keywords activity data; activity mining; impact-targeted mining; unbalanced data en_US
dc.staffid 034535 en_US


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