Study of algorithm for distributed mining frequent closed patterns based on meta-learn technology
基于元学习的分布式挖掘频繁闭合模式算法研究

This paper presented a distributed algorithm for mining frequent closed patterns using meta-learning. In order to accommodate the different distributed environment, also presented another similar algorithm. In the end, discussed the strategy for choosing the right distributed algorithm by experiment. This algorithm is more efficient and has less communicated and high reliability, applicable to distributed mining well.