A method and algorithm of distributed mining association rules in synchronisms

Mining association rule is an important part of data mining. In this paper, a method and its algorithm DMAR of distributed mining association rules in synchronisms are presented in distributed transaction database environments by using meta-learning technology. The algorithm has higher mining efficiency and lower data communication amount. The distributed factor γ is also defined in the paper, which is to measure the efficiency of mining algorithm, and it is pointed out that the value of γ is related to mining efficiency and data communication amount. Experiments have been conducted to prove the correctness and efficiency of the algorithm DMAR.