【摘要】 利用元学习技术提出了一种分布式挖掘频繁闭合模式算法;为适应不同的分布式环境,还给出了该算法的一个变种;最后通过实验讨论了不同分布式下选取算法的策略。算法具有挖掘效率高、通信量少、可靠性高的特点,适合分布式挖掘。更多还原

【Abstract】 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.更多还原