Agents and data mining: Mutual enhancement by integration

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dc.contributor.author Zhang, C
dc.contributor.author Zhang, Z
dc.contributor.author Cao, L
dc.date.accessioned 2009-12-21T02:31:41Z
dc.date.issued 2005
dc.identifier.citation Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2005, 3505 LNAI pp. 50 - 61
dc.identifier.isbn 9783540261643
dc.identifier.issn 0302-9743
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/4107
dc.description.abstract This paper tells a story of synergism of two cutting edge technologies - agents and data mining. By integrating these two technologies, the power for each of them is enhanced. Integrating agents into data mining systems, or constructing data mining systems from agent perspectives, the flexibility of data mining systems can be greatly improved. New data mining techniques can add to the systems dynamically in the form of agents, while the out-of-date ones can also be deleted from systems at run-time. Equipping agents with data mining capabilities, the agents are much smarter and more adaptable. In this way, the performance of these agent systems can be improved. A new way to integrate these two techniques -ontology-based integration is also discussed. Case studies will be given to demonstrate such mutual enhancement. © Springer-Verlag Berlin Heidelberg 2005.
dc.language eng
dc.title Agents and data mining: Mutual enhancement by integration
dc.type Journal Article
dc.parent Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.journal.volume 3505 LNAI
dc.journal.number en_US
dc.publocation Berlin, Germany en_US
dc.identifier.startpage 50 en_US
dc.identifier.endpage 61 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 080704 Information Retrieval and Web Search
dc.for 080604 Database Management
dc.for 080109 Pattern Recognition and Data Mining
dc.personcode 011221
dc.personcode 034535
dc.percentage 50 en_US
dc.classification.name Information Retrieval and Web Search en_US
dc.classification.type FOR-08 en_US
dc.custom 0.251 en_US
dc.description.keywords Agent, Data Mining, Mutual Enhancement, Integration 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
utslib.collection.history Closed (ID: 3)


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