最小归纳依赖关系在采掘聚类关联规则中的应用研究

数据集中的冗余属性会降低数据采掘结果的解释能力及精度。该文介绍了在非项目集类型的数据集中采掘聚类关联规则的基本原理，并利用RoughSet理论对属性间的归纳依赖关系进行了分析，提出了一个在数据集中发现没有冗余属性的最小归纳依赖关系的算法，使采掘出的关联规则的精度及解释能力都达到令人满意的水平。

Research on the Application of Minimal Induction DependencyRelation in Mining Clustering Association Rules

Redundant adribute in data set will lead to low precision and low interpreting ability of data mining. In this paper,we first introduce the basic principle of mining clustering association rules in non_itemset data seLand then,by analyzing induction dependency relation among attributes on the bases of rough set theory,we present a lerithm of discovering minimal induction dependency relation without redundant attribute in a data set,which can improve the pre cision and interpreting ability of association rules.