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Article Name : | | DISTRIBUTED DATA MINING USING MESSAGE PASSING INTERFACE. | Author Name : | | HITESH NINAMA | Publisher : | | Ashok Yakkaldevi | Article Series No. : | | ROR-361 | Article : | | | Author Profile | Abstract : | | Data mining involves the use of sophisticated data analysis tools to discover previously unknown, valid patterns and relationships in large data sets. Consequently, data mining consists of more than collecting and managing data, it also includes analysis and prediction. Data mining is used for producing predictive models that are helpful in decision making. In order to improve the efficiency of mining algorithm for the large data sets we are implementing Distributed Data Mining (DDM) which uses Message Passing Interface (MPI) so that different instances of the same process can communicate with each other. Then the proposed algorithm can be compared with existing algorithm to check the performance. Similarly the algorithm can also be compared to show that how distributed computing increases the performance as compared to single processor. Result generated by the proposed work shows that the performance of DTI algorithm gets improve if we perform DDM using message passing interface. | Keywords : | | - Data Mining, Distributed Data Mining, Decision Tree Induction Algorithm, Message Passing Interface.
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