Agents and data mining: mutual enhancement by integration

Zhang, Chengqi, Zhang, Zili and Cao, Longbing 2005, Agents and data mining: mutual enhancement by integration, Lecture notes in computer science, vol. 3505, pp. 50-61.

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Title Agents and data mining: mutual enhancement by integration
Author(s) Zhang, Chengqi
Zhang, Zili
Cao, Longbing
Journal name Lecture notes in computer science
Volume number 3505
Start page 50
End page 61
Publisher Springer-Verlag
Place of publication Berlin, Germany
Publication date 2005-05-20
ISSN 0302-9743
1611-3349
Summary This paper tells a story of synergism of two cutting edge technologies — agents and data mining. By integrating these two technologies, the power for each of them is enhanced. Integrating agents into data mining systems, or constructing data mining systems from agent perspectives, the flexibility of data mining systems can be greatly improved. New data mining techniques can add to the systems dynamically in the form of agents, while the out-of-date ones can also be deleted from systems at run-time. Equipping agents with data mining capabilities, the agents are much smarter and more adaptable. In this way, the performance of these agent systems can be improved. A new way to integrate these two techniques –ontology-based integration is also discussed. Case studies will be given to demonstrate such mutual enhancement.
Language eng
Field of Research 080105 Expert Systems
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2005, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30008808

Document type: Journal Article
Collection: School of Information Technology
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