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关联规则相关性的度量
引用本文:郭俊芳,谢益武,周生宝.关联规则相关性的度量[J].计算机应用,2007,27(4):892-893.
作者姓名:郭俊芳  谢益武  周生宝
作者单位:[1]大连海事大学计算机科学与技术学院,辽宁大连116026 [2]大连海事大学数理系,辽宁大连116026
摘    要:用Apriori算法生成的关联规则包含有无用规则,甚至误导规则。为了使生成的规则更有效,引入了统计学中的卡方检验从统计意义上检验规则是否关联,并找到卡方检验值与相关系数的数量关系,实现了两种方法的统一,并用基于相关系数的算法去生成关联规则。

关 键 词:关联规则  相关度  卡方检验  相关系数
文章编号:1001-9081(2007)04-0892-03
收稿时间:2006-10-09
修稿时间:2006-10-092006-12-24

Measurement of association rules correlation
GUO Jun-fang,XIE Yi-wu,ZHOU Sheng-bao.Measurement of association rules correlation[J].journal of Computer Applications,2007,27(4):892-893.
Authors:GUO Jun-fang  XIE Yi-wu  ZHOU Sheng-bao
Affiliation:1. College of Computer Science and Technology, Dalian Maritime University, Dalian Liaoning 116026, China; 2. Department of Mathematics and Physics, Dalian Maritime University, Dalian Liaoning 116026, China
Abstract:Association rules generated by Apriori algorithm includes some useless and even misleading rules. To gain more effective rules, a statistical criteria, Chi-Squared was used to measure the associations, furthermore the quantitative relations between the Chi-Squred test and correlation coefficient was found out, and two measures was united to generate association n.des with correlation coefficient.
Keywords:association rules  correlation  chi-squared test  correlation coefficient
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