Algorithm for mining calendar-based temporal association rules

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.