Algorithm for mining calendar-based temporal association rules
基于日历的时序关联规则挖掘算法

An efficient algorithm for temporal association rules based on calendar patterns was presented. A user-given calendar schema was adopted to specify the interesting rime intervals as calendar patterns. Then database was scanned once to find all frequent 2-itemsets and their 1-star calendar patterns. Aggregation property and Apriori property were utilized to find all candidate patterns. Finally, calendar-based temporal association rules were obtained through scanning. The experimental results indicate that this proposed algorithm is feasible and efficient.