摘要
关联规则挖掘能使你们发现大量数据中项目集之间有趣的关联或相关关系,通过研究发现,用传统关联规则方法会生成大量包含重复意义的规则,这必然会对用户迅速做出决策产生干扰。该文提出了一种基于邻接格的规则集压缩方法,使生成的规则大大精化,从而提供给用户简洁紧凑的关联规则集。
Association rule mining can discover a lot of interesting and correlation relations among a large number of objects in a given database.But the traditional association rule mining framework produces too many rules and many of them implicate the same means which will disturb the decisions of users.In this paper,we present a compact method for rules based on adjacent lattice,this method will present user with simplify association rules set.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第21期174-177,共4页
Computer Engineering and Applications
基金
云南省自然科学基金资助项目(编号:2002F0013M)
关键词
关联规则
邻接格
规则集
association rules,adjacent lattice,rules set
