基于GPU的并行关联规则挖掘算法的设计与实现

ssociation rules mining is an important topic of data mining, and it is a popular and well researched method for discovering interesting relations between variables in large databases, then helps make better decision of strategy. This paper introduces new data storage and computing methods, and the implementation of GPU based parallel association rules mining algorithm utilizing the highly parallel computing capacity of GPU. Compared with normal association rules mining algorithms, GPU based algorithm has a significant improvement in performance because of GPU's high degree of parallelism and high memory bandwidth.