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关联规则研究综述
引用本文:秦亮曦,史忠植.关联规则研究综述[J].广西大学学报(自然科学版),2005,30(4):310-317.
作者姓名:秦亮曦  史忠植
作者单位:广西大学,计算机与电子信息学院,广西,南宁,530004;中国科学院,计算技术研究所智能信息处理重点实验室,北京,100080;中国科学院,研究生院,北京,100039;中国科学院,计算技术研究所智能信息处理重点实验室,北京,100080
基金项目:国家自然科学基金(90104021,60173017)
摘    要:关联规则挖掘是近年来数据挖掘研究中一个相当活跃的领域.本文给出了关联规则及相关术语的定义,对关联规则挖掘中的频繁模式、频繁闭模式、最大频繁模式、并行/分布式挖掘及增量挖掘算法作了简单评述,着重介绍了近三年来发表的一些新算法,并对未来的发展趋势进行了预测和展望.

关 键 词:数据挖掘  关联规则  频繁模式
文章编号:1001-7445(2005)-0310-08
收稿时间:2005-07-10
修稿时间:2005-10-19

A survey on the research of association rules
QIN Liang-xi,SHI Zhong-zhi.A survey on the research of association rules[J].Journal of Guangxi University(Natural Science Edition),2005,30(4):310-317.
Authors:QIN Liang-xi  SHI Zhong-zhi
Institution:1. College of Computer and Electronic Information,Guangxi University, Nanning 530004,China; 2. Key Lab. of Intelligent Information Processing ,Institute of Computing Technology, Chinese Academy of Sciences,Beijing 100080,China ; 3. Graduate School of Chinese Academy of Sciences,Beijing 100039,China
Abstract:Association rules mining is quite an active field in the research of data mining in recent years. In this paper,it is presented that the definitions of association rule and relative terms, and simply surveyed that the algorithms of frequent patterns mining,frequent close patterns mining,max frequent patterns mining,parallel/distributed mining and incremental mining. It is mainly introduced the algorithms that is presented in last three years,and it is given the prediction and expectation of the developing trends in the near future.
Keywords:data mining  association rule  frequent pattern
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