Research of multi-level association rules mining in distributed database
分布式数据库多层关联规则挖掘算法研究

A fast mining algorithm named DMAML_FPT(Distributed Mining Algorithm of Multiple Level based on Frequent Pattern Tree) was presented after researching multi-level association rules mining in distributed database.Comparing with Apriori-like algorithms,DMAML_FPT only need to scan the database for three times,eliminated the need for generating the candidate items,reduced the communication cost,and improved efficiency of data mining.Experiment results show that the algorithm is feasible and efficient.