F-TRADE 3.0: An Agent-Based Integrated Framework for Data Mining Experiments

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dc.contributor.author Moemeng, C
dc.contributor.author Cao, L
dc.contributor.author Zhang, C
dc.contributor.editor Li, Y
dc.contributor.editor Pasi, G
dc.contributor.editor Zhang, C
dc.contributor.editor Cercone, N
dc.contributor.editor Cao, L
dc.date.accessioned 2010-05-28T09:59:11Z
dc.date.issued 2008-01
dc.identifier.citation 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, 2008, pp. 612 - 615
dc.identifier.isbn 978-0-7695-3496-1
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/10734
dc.description.abstract Data mining researches focus on algorithms that mine valuable patterns from particular domain. Apart from the theoretical research, experiments take a vast amount of effort to build. In this paper, we propose an integrated framework that utilises a multi-agent system to support the researchers to rapidly develop experiments. Moreover, the proposed framework allows extension and integration for future researches in mutual aspects of agent and data mining. The paper describes the details of the framework and also presents a sample implementation.
dc.publisher IEEE Computer Society
dc.relation.hasversion Accepted manuscript version
dc.relation.isbasedon 10.1109/WIIAT.2008.230
dc.title F-TRADE 3.0: An Agent-Based Integrated Framework for Data Mining Experiments
dc.type Conference Proceeding
dc.parent 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops
dc.journal.number en_US
dc.publocation USA en_US
dc.identifier.startpage 612 en_US
dc.identifier.endpage 615 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.conference IEEE/WIC/ACM international Conference on Web Intelligence and Intelligent Agent Technology
dc.for 080101 Adaptive Agents and Intelligent Robotics
dc.for 080110 Simulation and Modelling
dc.for 080109 Pattern Recognition and Data Mining
dc.personcode 011221
dc.personcode 034535
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 IEEE/WIC/ACM international Conference on Web Intelligence and Intelligent Agent Technology en_US
dc.date.activity 20081209 en_US
dc.date.activity 2008-12-09
dc.location.activity University of Technology, Sydney, Australia en_US
dc.description.keywords Data mining, multi-agent systems, Agent. 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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