Student Psychological Prediction and Analysis System based on Improved Apriori Algorithm

Abstract

Because college students are not fully mature psychologically, they are prone to all kinds of psychological problems, which not only bring great pressure to the teaching work, but also have certain management risks. This paper mainly studies the students' psychological prediction and analysis system based on the improved Apriori algorithm (AA). It adopts the improved AA under the matrix condition to collect and screen students' psychological assessment data, and carry out data mining (DM) and analysis on the relationship between psychological factors to get association rules. The prediction and analysis system is constructed by J2EE. It is better that the improved AA is better than other algorithms in students' psychological prediction through systematic testing.