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Software Tool for Agent Based Distributed Data Mining

K. Anandakumar, Dr. M. Punithavalli

Abstract


The main objective of this project is to illustrate the maximum utilization of available resources for the data mining activities. Mining information and knowledge from huge data sources such as Weather databases, financial data portals or emerging disease information systems has been recognized by industrial companies as an important area with an opportunity of major revenues from applications such as business data warehousing, process control, and personalized on-line customer services over Internet and web. Distributed Data mining is expected to perform partial analysis of data at clients and then to send the outcome as results to the server where it is sometimes required to be aggregated to the global result. The primary issues to be considered for DDM are Scalability, privacy of data and autonomy of data. These issues can be easily handled when we go for intelligent software agents for Distributed Data mining, because of its inherent features of being autonomous, capable of adaptive and deliberative reasoning.

Keywords


Data Mining, Frequent Item set, Distributed Data Mining.

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