Discovering the Most Adaptive Students of One Course by Data Mining

In the paper, we discover the most adaptive students of one course by association rule and classification analysis. First, we improve the performance of the previous Apriori to reduce some unnecessary steps, as a result, we can get more efficient association rules to mine the course, and then discover the most adaptive student according to the characteristic displayed by the association rule; secondly, we discover the students' attribute characteristic of one course through classification analysis, the students with the attribute characteristic are the most adaptive students of the course and should be recommended. We can create the behavior mode of course-select through above methods and take it as useful reference to students and schools.