摘要
通过实例分析了支持度-置信度模型的缺陷和Apriori算法忽视反面示例的不足．引入了PS改进方法作为兴趣度，并设计了基于该兴趣度的关联规则挖掘算法．后通过实例对挖掘算法进行适当的分析，从而验证了该方法的有效性．
Based on the analysis of examples, this research points to the defects of Support-confidence model and Apriori algorithm, introduced PS improved method as interest, and designs an association rules mining algorithm based on the interest. Finally, proper analysis of the mining algorithms through examples.
出处
《哈尔滨理工大学学报》
CAS
北大核心
2009年第A01期40-43,共4页
Journal of Harbin University of Science and Technology
