Abstract
Multi-agent systems offer an architecture for distributed problem solving. Distributed data mining algorithms specialize on one class of such distributed problem solving tasks—analysis and modeling of distributed data. This paper offers a perspective on distributed data mining algorithms in the context of multi-agents systems. It particularly focuses on distributed clustering algorithms and their potential applications in multi-agent-based problem solving scenarios. It discusses potential applications in the sensor network domain, reviews some of the existing techniques, and identifies future possibilities in combining multi-agent systems with the distributed data mining technology.
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Giannella, C., Bhargava, R., Kargupta, H. (2004). Multi-agent Systems and Distributed Data Mining. In: Klusch, M., Ossowski, S., Kashyap, V., Unland, R. (eds) Cooperative Information Agents VIII. CIA 2004. Lecture Notes in Computer Science(), vol 3191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30104-2_1
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DOI: https://doi.org/10.1007/978-3-540-30104-2_1
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