文献类型：期刊文献

英文题名：An improved association rules mining algorithm based on power set and hadoop

作者：Mao, Weijun[1]; Guo, Weibin[1]

机构：[1] Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, 200000, China

年份：2013

起止页码：236

外文期刊名：Proceedings - 2013 International Conference on Information Science and Cloud Computing Companion, ISCC-C 2013

收录：EI(收录号：20145200372198)

语种：英文

外文关键词：Cloud computing - Clustering algorithms - Efficiency - Association rules - Data mining

摘要：The association rules mining has an very important impact in data mining. As the rapid growth of datasets, the required memory increase seriously and the operating efficiency declines rapidly. Cloud computing provides efficient and cheap solutions to analyze and implement the association rules mining algorithms in parallel. This paper proposes an improved association mining algorithm based on power set and MapReduce programming model, which can process massive datasets with a cluster of machines on Hadoop platform. The results of the numerical experiments show that the proposed algorithm can achieve higher efficiency in the association rules mining. ? 2013 IEEE.