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.
出处
《计算机与现代化》
2014年第4期73-76,共4页
Computer and Modernization
关键词
数据挖掘
关联规则
支持度
置信度
data mining
association rules
support limit
confidence limit
