Agent Mining: The Synergy of Agents and Data Mining

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dc.contributor.author Cao, Longbing en_US
dc.contributor.author Gorodetsky, Vladimir en_US
dc.contributor.author Mitkas, Pericles en_US
dc.contributor.editor en_US
dc.date.accessioned 2010-05-28T09:46:49Z
dc.date.available 2010-05-28T09:46:49Z
dc.date.issued 2009 en_US
dc.identifier 2009001325 en_US
dc.identifier.citation Cao Longbing, Gorodetsky Vladimir, and Mitkas Pericles 2009, 'Agent Mining: The Synergy of Agents and Data Mining', IEEE, vol. 24, no. 3, pp. 64-72. en_US
dc.identifier.issn 1541-1672 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/8991
dc.description.abstract Autonomous agents and multiagent systems (or agents) and data mining and knowledge discovery (or data mining) are two of the most active areas in information technology. Ongoing research has revealed a number of intrinsic challenges and problems facing each area, which can't be addressed solely within the confines of the respective discipline. A profound insight of bringing these two communities together has unveiled a tremendous potential for new opportunities and wider applications through the synergy of agents and data mining. With increasing interest in this synergy, agent mining is emerging as a new research field studying the interaction and integration of agents and data mining. In this paper, we give an overall perspective of the driving forces, theoretical underpinnings, main research issues, and application domains of this field, while addressing the state-of-the-art of agent mining research and development. Our review is divided into three key research topics: agent-driven data mining, data mining-driven agents, and joint issues in the synergy of agents and data mining. This new and promising field exhibits a great potential for groundbreaking work from foundational, technological and practical perspectives. en_US
dc.language en_US
dc.publisher IEEE en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/MIS.2009.45 en_US
dc.title Agent Mining: The Synergy of Agents and Data Mining en_US
dc.parent IEEE Intelligent Systems en_US
dc.journal.volume 24 en_US
dc.journal.number 3 en_US
dc.publocation Washington en_US
dc.identifier.startpage 64 en_US
dc.identifier.endpage 72 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 080600 en_US
dc.personcode 034535 en_US
dc.personcode 0000036150 en_US
dc.personcode 0000058888 en_US
dc.percentage 67 en_US
dc.classification.name Information Systems en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords artificial intelligence , autonomous agents , data mining , knowledge discovery , multi-agent systems en_US
dc.staffid en_US


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