列联表规整化对关联规则挖掘算法的改进

Improvement of Association Rule Mining Algorithm by Adopting Contingency Table Standardization

关联规则挖掘算法是数据挖掘中非常重要的部分。通过对有趣度参数和列联表规整化的研究,进一步改进了对关联规则挖掘算法。并指出文献[1]中存在的对稳健统计概念的曲解。

Association rule mining algorithm is very important for the data mining, and can be used in various fields. This paper studies several interestingness and contingency table standardization to find a more robust algorithm instead of using support and confidence. It also points out the misunderstanding and wrong using to robust Statistics in the reference No. 1.