关联规则挖掘Apriori算法的改进及其应用研究  

Research and Application of an Improved Apriori Algorithm for Mining Association Rules

作　　者：丁卫平[1] 

机构地区：[1]南通大学计算机科学与技术学院,江苏南通226019

出　　处：《南通大学学报（自然科学版）》2008年第1期50-53,共4页Journal of Nantong University(Natural Science Edition)　

基　　金：江苏省高校自然科学基金项目(05KJB520107);南通大学自然科学基金项目(05Z061)

摘　　要：在分析经典关联规则挖掘算法的基础上,提出了一种改进的Apriori关联规则算法,并进行该算法的UCI机器学习数据库性能分析和设计电子病历关联规则挖掘应用系统,结果表明该算法在运行速度和挖掘性能上都是高效的.Based on the analysis of the classical algorithm for mining association rules, an improved Apriori algorithm of association rules was put forward, whose performance was tested by UCI Machine Learning Data Sets. Besides, a corresponding application of the electronic patient record mining was designed. The results demonstrate that the new Apriori works better in both running speed and mining capability.

关 键 词：数据挖掘 关联规则 频繁项目集 APRIORI 算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]