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Agents and data mining: mutual enhancement by integration

journal contribution
posted on 2005-05-20, 00:00 authored by C Zhang, Zili ZhangZili Zhang, L Cao
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 New data mining techniques can add to the systems dynamically in the form of agents, while the out-of-date ones can also be deleted from systems at run-time.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.

History

Journal

Lecture notes in computer science

Volume

3505

Pagination

50 - 61

Publisher

Springer-Verlag

Location

Berlin, Germany

ISSN

0302-9743

eISSN

1611-3349

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2005, Springer

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