A Game Theoretic Approach to Active Distributed Data Mining
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Transactions on computational collective intelligence IV
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This paper presents an overview of a distributed data mining system developed according to two approaches; 1) distributed data modeling and 2) distributed decision making. A communication mechanism between multiagents was established in the system, in order to achieve two approaches to deal with information processing in a distributed way. An algorithm for each approach has been modified from the original forms of decision tree building/ making algorithms so that it can work under multi-agents computing environments as well as single computing environments. This system is evaluated over a test bed of US census bureau statistical data set collected in the 1990s. For a comparison of the distributed analysis version with the single version with respect to analysis results, the data set was disjoined into two-four different databases which were deployed in different local sites.