关联规则挖掘技术研究进展  

State-of-art on association rules mining technology

作　　者：程舒通[1,2] 徐从富[1] 

机构地区：[1]浙江大学计算机科学与技术学院,杭州310027 [2]杭州科技职业技术学院,杭州310012

出　　处：《计算机应用研究》2009年第9期3210-3213,共4页Application Research of Computers

基　　金：国家"863"计划资助项目(2007AA01Z197);浙江省自然科学基金资助项目(Y105250)

摘　　要：为帮助人们深入研究关联规则挖掘技术,总结了关联规则的分类方法、评价方法以及相关技术的最新进展,特别是对关联规则的主要算法进行了详细的介绍,并探讨未来的发展方向。该研究比较系统全面,对将来进一步深入分析关联规则挖掘技术具有指导意义。Association rule which has a vital value both in research and practice is the basic problem in the domain of data mining, the widely research works have been done by many researchers either in home or in the other countries. The aim of this paper was that it not only helped the people to study the association rule in data mining deeply but also generalized the method of the sorting and evaluation and the development of new techniques in association rule. Especially introduced the de- tails in major arithmetic of association rule and gave the direction. The research in which is both systematic and comprehensive is that it can help people to analyse the association rule in data mining deeply in the future.

关 键 词：数据挖掘 关联规则 频繁 并行 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]