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›› 2004, Vol. 30 ›› Issue (22): 89-.

• 论文 • 上一篇    下一篇

基于综合度量的关联规则挖掘算法

陆晶,赛英   

  1. 山东财政学院计算信息工程系,山东财政学院计算信息工程系 济南 250014
  • 发布日期:2004-11-25

Mining Association Rules Based on Comprehensive Measures

LU Jing, SAI Ying   

  1. (Department of Computer Information Engineering, Shandong Finance Institute, Jinan 250014)
  • Published:2004-11-25

摘要: 从确定性、有用性、简洁性和新奇性4个方面对规则进行综合度量,给出了规则长度和兴趣度约束的定义,在传统算法基础上提出了基于综合度量的关联规则挖掘算法,使关联规则的挖掘质量得到提高。

关键词: 数据挖掘, 关联规则, 兴趣度, 质量

Abstract: This paper comprehensively measures rules from four aspects, i.e. certainty, utility, novelty and simplicity. After defining the length and interest measures of rules, It proposes an approach to mining association rules based on comprehensive measures. Thus the quality of the mined association rules is greatly improved.

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