Psychological Analysis of College Students Based on Improved Boolean Matrix Apriori Algorithm

摘要

Mental health directly influences the normal study and life of college students. The problems brought by psychological problems also affect many college students, which has brought many negative effects to them. Therefore, in view of the college students' psychological correlation analysis, it is necessary to put the association rules mining technology for the college students' psychological analysis. To guide college students' mental health education has great practical significance. This article improved algorithm combined with established system of college students' psychological correlation analysis. To collect the college students' psychological evaluation data and the basis of the basic information, we use the improved algorithm for mining. From the results in some regularity and characteristics of college students' psychological factors, it offers a new way for college students' mental health education.