High Performance Data Mining Algorithms and Similarity Models Research

For the complex data of multilevel and large volume distributed in different regions, how to seek and find both be interested and useful information is what scientists are devoted to. Existing efficient method of research is an association rule mining of distributed database system. This paper introduced the distributed association rule mining algorithm. By analyzing the Aproiri algorithm, we have proposed Fast Distributed Mining of Association Rule algorithm and Similarity model. The test results show it can effectively improve the mining accuracy rate.