Research On Association Rule Owing To Tense Constraint

The paper introduces the correlative concepts and technologies and expounds the research status of the association rules data mining, the research background and progress of temporal data mining .At the meanwhile,the process of association rules and the data mining algorithms are given. The author analyzes the disadvantages of the algorithms and put forward some improved methods. And the author further discusses the temporal association rules data mining. At the same time, the paper has developed a new extended Apriori algorithm to mining temporal association rules, which was used to discovery temporal association rules. The key idea of this algorithm is using Fisher clustering algorithm to cluster the valid time that the rules hold. Test shows its efficiency and rationality.