电子商务下的Apriori改进算法
首发时间:2010-12-27
摘要:随着大型电子商务网站不断发展,企业掌握了越来越多的数据,海量数据隐藏这丰富的信息,而Apriori算法在电子商务的关联规则挖掘中占用十分重要的地位。本文主要讨论传统Apriori算法以及其局限性,并提出一种改进的算法Apriori-1。这种改进算法在基于避免不必要的项目组合以及一次性查询数据库的过程中建立起关联规则以用来提高算法的效率。通过实验,证明这种改进的算法在电子商务的大量交易数据中具有显著的优势。
关键词: 数据挖掘 关联规则 Apriori Apriori-1
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An Improve of Apriori in E-commerce
Abstract:With the continuous development of large-scale e-commerce sites, there are many useful information hide in the massive data,Apriori is one of the most important algorithms used in rule association mining. In this paper, we first discuss the limitations of the Apriori algorithm and then propose an enhancement which called Apriori-1 for improving its efficiency.The improved algorithm is based on avoid combined data which is not useful and just search data base for one time.A simulation instance is given in order to show the advantages of this algorithm compared with Apriori.
Keywords: data mining rule association Apriori Apriori-1
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