An Incremental Updating FP TREE Algorithm on HADOOPReport as inadecuate

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Discovery of association rules is one of important data mining tasks. In the massive data mining association rules, in order to solve the lower efficiency of the time and space, this paper proposed a cloud computing platform hadoop for parallel algorithm. The algorithm uses Map Reduce model. First of all, divided mining tasks into the task of parallel computing, and then Merges the results in reduce phase. Finally, effectively solved the massive data mining problems caused by insufficient memory, and improved the rate of data mining. The test results demonstrated that the system has good performance in the load balancing and scalability


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Author: HUICONG Ning, XIULI Shao



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