Associated Behavior Characteristics Mining of Psychological Crisis Based on Educational Data of College Students

The incidence of suicide caused by psychological crisis of college students increases year by year, it is of great significance to accurately mining the behavioral characteristics of college students’ psychological crisis association for rapid identification of abnormal students. In order to explore the associated behavior characteristics of college students’ psychological crisis, this paper collects the actual data of college students’ mental health status through field surveys and online questionnaires with the help of Questionnaire Star tool, and then cleans and integrates the data through data mining technology to obtain the standard data set for visualization analysis. The improved Apriori association rule mining algorithm is used to analyze the data and screen out the significant characteristic attributes which are highly correlated with the causes of psychological crisis. The example data is visualized in the form of bar chart, line chart, fan chart, etc. The results show that the obtained research results can be used to analyze the relationship between college students’ psychological crisis and various factors, so as to reduce the occurrence of psychological crisis, in order to provide technical support for the healthy growth of college students.