【作者】 左万利； 刘居红；

【Author】 Zuo Wanli,Liu Juhong (Department of Computer Science,Jilin University,Changchun,130023,China)

【机构】 吉林大学计算机科学系；

【摘要】 通过引入负属性并与正属性相结合,定义了关联规则的更一般形式,既丰富了关联规则的表达能力,又为虚假蕴涵规则的过滤提供了新方法.文中给出了相关的数据结构和由大数据集中提取一般性关联规则的算法,并对算法做了定性分析.更多还原

【Abstract】 By introducing negative attributes in combination with positive ones,this paper defines a more generalized format of association rules,which not only enriches the expressive power of traditional association rules,but also provides a new approach to filtrating out false implication rules.The relevant data structure as well as an algorithm for extracting generalized association rules from large data set is presented,the performance of which is compatible with positive-only works.更多还原