Synthesizing high-frequency rules from different data sources

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dc.contributor.author Wu, X
dc.contributor.author Zhang, S
dc.date.accessioned 2009-12-21T03:52:29Z
dc.date.issued 2003-01
dc.identifier.citation IEEE Transactions On Knowledge And Data Engineering, 2003, 15 (2), pp. 353 - 367
dc.identifier.issn 1041-4347
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/5742
dc.publisher IEEE Computer Soc
dc.title Synthesizing high-frequency rules from different data sources
dc.type Journal Article
dc.parent IEEE Transactions On Knowledge And Data Engineering
dc.journal.volume 2
dc.journal.volume 15
dc.journal.number 2 en_US
dc.publocation CA, USA en_US
dc.identifier.startpage 353 en_US
dc.identifier.endpage 367 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.for 0804 Data Format
dc.personcode 100507
dc.personcode 020030
dc.percentage 100 en_US
dc.classification.name Data Format en_US
dc.classification.type FOR-08 en_US
dc.description.keywords large databases, multiple data sources, association rules, synthesizing, weighting, rule selectionAssociation Rules
dc.description.keywords Stacked Generalization
dc.description.keywords Databases
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)


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