可拓学在数据关联规则挖掘中的应用

Application Extenics in Association Rules Mining

介绍了关联规则数据挖掘概念和可拓学思想。探讨了把可拓学理论用于关系数据库上关联规则挖掘。通过对关系数据库上多值属性进行布尔数值转换,利用关联规则挖掘算法在关系数据库对关联规则进行挖掘,再用可拓学相关性和蕴含性思想,对所获得的关联规则进行拓展,获得更多更有价值的关联规则。

In this thesis, extension theory is applied in the association rule mining. The association rules are obtained through an association rule mining arithmetic after multi-value attributes in relational databases have been converted to Boolean values first. Many significant rules are attained through extension-transformation of the association rules according to characteristics of extension matter elements then.