Effictive Utilization Of Processor In A Destributed Environment For PC Clusters Analysis

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 Distributed Data mining 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. So by using software intelligent agents the average idle.