Agent-Mining Interaction: An Emerging Area

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dc.contributor.author Cao, Longbing en_US
dc.contributor.author Luo, Chao en_US
dc.contributor.author Zhang, Chengqi en_US
dc.contributor.editor Vladimir, Gorodetsky; Chengqi, Zhang; Victor, A. Skormin; Longbing, Cao. en_US
dc.date.accessioned 2009-11-09T02:45:36Z
dc.date.available 2009-11-09T02:45:36Z
dc.date.issued 2007 en_US
dc.identifier 2007000691 en_US
dc.identifier.citation Cao Longbing, Luo Chao, and Zhang Chengqi 2007, 'Agent-Mining Interaction: An Emerging Area', Springer, Berlin, Germany, pp. 60-73. en_US
dc.identifier.issn 0302-9743 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/1876
dc.description.abstract In the past twenty years, agents (we mean autonomous agent and multi-agent systems) and data mining (also knowledge discovery) have emerged separately as two of most prominent, dynamic and exciting research areas. In recent years, an increasingly remarkable trend in both areas is the agent-mining interaction and integration. This is driven by not only researchera??s interests, but intrinsic challenges and requirements from both sides, as well as benefits and complementarity to both communities through agent-mining interaction. In this paper, we draw a high-level overview of the agent-mining interaction from the perspective of an emerging area in the scientific family. To promote it as a newly emergent scientific field, we summarize key driving forces, originality, major research directions and respective topics, and the progression of research groups, publications and activities of agent-mining interaction. Both theoretical and application-oriented aspects are addressed. The above investigation shows that the agent-mining interaction is attracting everincreasing attention from both agent and data mining communities. Some complicated challenges in either community may be effectively and efficiently tackled through agent-mining interaction. However, as a new open area, there are many issues waiting for research and development from theoretical, technological and practical perspectives. This work is sponsored by Australian Research Council Discovery Grant (DP0773412, LP0775041, DP0667060, DP0449535), and UTS internal grants. en_US
dc.publisher Springer en_US
dc.relation.isbasedon http://dx.doi.org/10.1007/978-3-540-72839-9_5 en_US
dc.title Agent-Mining Interaction: An Emerging Area en_US
dc.parent Autonomous Intelligent Systems: Multi-Agents and Data Mining en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Berlin, Germany en_US
dc.identifier.startpage 60 en_US
dc.identifier.endpage 73 en_US
dc.cauo.name QCIS Investment Core en_US
dc.conference Verified OK en_US
dc.conference.location St. Petersburg, Russia en_US
dc.for 080704 en_US
dc.personcode 034535 en_US
dc.personcode 100788 en_US
dc.personcode 011221 en_US
dc.percentage 50 en_US
dc.classification.name Information Retrieval and Web Search en_US
dc.classification.type FOR-08 en_US
dc.custom International Workshop Autonomous Intelligent Systems: Agents and Data Mining en_US
dc.date.activity 20070603 en_US
dc.location.activity St. Petersburg, Russia en_US
dc.description.keywords agent-mining interaction, emergent scientific field. en_US
dc.staffid 011221 en_US


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