Agent Mining: The Synergy of Agents and Data Mining

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Show simple item record Cao, L Gorodetsky, V Mitkas, P 2010-05-28T09:46:49Z 2009-01
dc.identifier.citation IEEE Intelligent Systems, 2009, 24 (3), pp. 64 - 72
dc.identifier.issn 1541-1672
dc.identifier.other C1 en_US
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.
dc.publisher IEEE
dc.relation.isbasedon 10.1109/MIS.2009.45
dc.title Agent Mining: The Synergy of Agents and Data Mining
dc.type Journal Article
dc.parent IEEE Intelligent Systems
dc.journal.volume 3
dc.journal.volume 24
dc.journal.number 3 en_US
dc.publocation Washington en_US
dc.identifier.startpage 64 en_US
dc.identifier.endpage 72 en_US FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 0806 Information Systems
dc.for 080110 Simulation and Modelling
dc.personcode 034535
dc.percentage 67 en_US Information Systems en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US en_US
dc.location.activity en_US
dc.description.keywords artificial intelligence , autonomous agents , data mining , knowledge discovery , multi-agent systems 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 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)

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