Analysis on the Influencing Factors of College Students' Mental Health Based on Data Mining

Abstract

This paper uses the method of association rules in data mining to analyze and research the psychological evaluation data of college students. Taking the psychological evaluation data of 2017 and 2018 college students in a university as the research object, the decision-making attributes of suspiciousness, depression, abnormal personality, and personal evaluation are respectively analyzed using Apriori algorithm. The association rules obtained from the experiment are further analyzed to find out the unfavorable factors affecting the mental health of college students.