数字属性的优化关联规则开采

Miuing Optimized Association Rules with Numeric Attributes

关联规则揭示了关系表中属性之间潜在的联系，优化关联规则是发现特定属性间用户最感兴趣关系的一种有效途径。该文提出了一种基于数字属性的优化关税规则开采算法，该算法允许优化关联规则包含多维析取范式。

Association rules are useful for determining correlations between attributes of a relation.Optimized associationrules are an effective way to focus on the most interesting characteristics involving certain attributes.In this paper,wepropose a algorithm for mining optimized association rules with numeric attributes,this algorithm permits that optimizedassociation rules contains multi-dimensional disjunctive normal forms.