Distributed Data Mining and Multi Agent-Based Distributed Data Clustering
Abstract: 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
How to Cite?: Annan Naidu Paidi, "Distributed Data Mining and Multi Agent-Based Distributed Data Clustering", Volume 2 Issue 1, January 2013, International Journal of Science and Research (IJSR), Pages: 95-98, https://www.ijsr.net/getabstract.php?paperid=IJSR13010131, DOI: https://dx.doi.org/10.21275/IJSR13010131