关联规则挖掘综述  

Survey of association rule mining

作　　者：崔妍[1] 包志强[1] 

机构地区：[1]西安邮电大学通信与信息工程学院,西安710061

出　　处：《计算机应用研究》2016年第2期330-334,共5页Application Research of Computers

基　　金：国家自然科学基金资助项目(61271276);陕西省自然科学基金资助项目(2012JQ8011)

摘　　要：近年来国内外学者对关联规则进行了大量的研究,为深入理解关联规则挖掘技术,掌握其研究现状与发展趋势,首先介绍了关联规则相关定义与分类方法;其次从串行和并行两个角度总结了关联规则挖掘的一般方法,概述并分析了一些典型的关联规则挖掘模式;最后讨论了关联规则挖掘质量改善问题及领域应用。In recent years,researchers at home and abroad have done much work on association rules. To further understand the technology of association rules and its current research situation and development trend, this paper firstly introduced the definition of association rules and classification methods. Secondly, it concluded the general methods of association rule mining from two angles of serial and parallel, overviewed and analyzed the typical patterns of association rule mining. Finally, it dis- cussed the problem of association rule mining quality improvements and its field application.

关 键 词：数据挖掘 关联规则 频繁项集 算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]