An efficiency filtering algorithm for mining association rules

Filter the original data by using the itemsets that the users are interested in. At the time of producing the frequent itemsets, filter the data again according to the frequent data itemsets of large one itemsets (L₁) and large two itemsets (L₂). This can reduce the data in the database. At the time of producing the rule, making use of the template matching method to mine the association rule that the users are interested in and confirm the previous item and the consequent item of the association rule, we can confirm the mining direction of the association rule. This method can be applied to the data analysis of the evaluation of the tutors. The templates matching algorithm was provided in this paper.