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

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dc.contributor.author Moemeng, Chayapol en_US
dc.contributor.author Cao, Longbing en_US
dc.contributor.author Zhang, Chengqi en_US
dc.contributor.editor Yuefeng Li, Gabriella Pasi,Chengqi Zhang, Nick Cercone, Longbing Cao en_US
dc.date.accessioned 2010-05-28T09:59:11Z
dc.date.available 2010-05-28T09:59:11Z
dc.date.issued 2008 en_US
dc.identifier 2008001129 en_US
dc.identifier.citation Moemeng Chayapol, Cao Longbing, and Zhang Chengqi 2008, 'F-TRADE 3.0: An Agent-Based Integrated Framework for Data Mining Experiments', IEEE Computer Society, USA, pp. 612-615. en_US
dc.identifier.issn 978-0-7695-3496-1 en_US
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. en_US
dc.language en_US
dc.publisher IEEE Computer Society en_US
dc.relation.hasversion Accepted manuscript version
dc.relation.isbasedon http://dx.doi.org/10.1109/WIIAT.2008.230 en_US
dc.title F-TRADE 3.0: An Agent-Based Integrated Framework for Data Mining Experiments en_US
dc.parent 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops en_US
dc.journal.volume en_US
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.for 080109 en_US
dc.personcode 10609598 en_US
dc.personcode 034535 en_US
dc.personcode 011221 en_US
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.location.activity University of Technology, Sydney, Australia en_US
dc.description.keywords Data mining, multi-agent systems, Agent. en_US
dc.staffid en_US
dc.staffid 011221 en_US


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