Database clustering for mining multi-databases

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dc.contributor.author Zhang, C
dc.contributor.author Zhang, S
dc.date.accessioned 2009-11-09T05:35:53Z
dc.date.issued 2002
dc.identifier.citation IEEE International Conference on Fuzzy Systems, 2002, 2 pp. 974 - 979
dc.identifier.issn 1098-7584
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2545
dc.description.abstract This paper presents an efficient and effective application-independent database cluster for mining multi-databases. Our experimental results show that the proposed approach is effective and promising.
dc.title Database clustering for mining multi-databases
dc.type Conference Proceeding
dc.parent IEEE International Conference on Fuzzy Systems
dc.journal.volume 2
dc.journal.number en_US
dc.publocation Wisconsin, USA en_US
dc.identifier.startpage 974 en_US
dc.identifier.endpage 980 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.conference.location Hawaii, USA en_US
dc.for 080101 Adaptive Agents and Intelligent Robotics
dc.for 080109 Pattern Recognition and Data Mining
dc.personcode 020030
dc.personcode 011221
dc.percentage 70 en_US
dc.classification.name Pattern Recognition and Data Mining en_US
dc.classification.type FOR-08 en_US
dc.custom IEEE International Conference on Fuzzy Systems en_US
dc.date.activity 20020512 en_US
dc.location.activity Hawaii, USA 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 Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
pubs.consider-herdc true
utslib.collection.history Closed (ID: 3)
utslib.collection.history Uncategorised (ID: 363)


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