文章基本信息

标题：Research of the FP-Growth Algorithm Based on Cloud Environments
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作者：Zhou, Lijuan ; Wang, Xiang
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2014
卷号：9
期号：3
页码：676-683
DOI：10.4304/jsw.9.3.676-683
语种：English
出版社：Academy Publisher
摘要：The emergence of cloud computing solves the problems that traditional data mining algorithms encounter when dealing with large data. This paper studies the FP-Growth algorithm and proposes a parallel linked list-based FPG algorithm based on MapReduce programming model, named as the PLFPG algorithm. And then it describes the main idea of algorithm. Finally, by using different data sets to test the algorithm, the experimental result shows that PLFPG algorithm has higher efficiency and better flexibility and scalability.
关键词：cloud computing;fp-growth;mapreduce;data mining