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Research Paper | Information Technology | India | Volume 2 Issue 1, January 2013
Distributed Data Mining and Multi Agent-Based Distributed Data Clustering
Annan Naidu Paidi
The increasing demands to scale up to massive data sets inherently distributed over a network with limited band width and computational resources available motivated the development of distributed data mining (DDM). Multi-agent systems offer architecture for distributed problem solving. Distributed data mining algorithms specialize on one class of such distributed problem solving tasksanalysis and modelling 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. A framework for multi-agent based clustering is described whereby individual agents represent individual clusters. A particular feature of the framework is that, after an initial cluster configuration has-been generated, the agents are able to negotiate with a view to improving on this initial clustering
Keywords: agent-system, DDC problem, Multi agent for Distributed clustering
Edition: Volume 2 Issue 1, January 2013
Pages: 95 - 98
How to Cite this Article?
Annan Naidu Paidi, "Distributed Data Mining and Multi Agent-Based Distributed Data Clustering", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=IJSR13010131, Volume 2 Issue 1, January 2013, 95 - 98
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