基于权值的关联规则挖掘改进算法  

A New Weight-based Association Rules Mining Algorithm

作　　者：万宇文[1] 黄林颖[1] 甘登文[1] 

机构地区：[1]江西师范大学计算机信息工程学院,江西南昌330027

出　　处：《计算机与现代化》2014年第4期73-76,共4页Computer and Modernization

摘　　要：关联规则挖掘是数据挖掘中的重要方法。本文结合多维关联规则基于支持度和置信度的挖掘算法,提出基于权值的关联规则挖掘改进算法,比较几种定义权值的方法的差别,并通过示例论证了算法的有效性。Association rules mining is an important method in data mining. Combined with traditional algorithm based on support and confidence limit, the paper brings forward a weight-based method to mining association rules and gives some different methods to calculate attribute＇ s weight. The difference of these methods is compared at the end of this paper. We give an example to show our method is effective.

关 键 词：数据挖掘 关联规则 支持度 置信度 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]