With the continuous development of the society, the pace of life is accelerating, and people's psychological problems are also increasing. Psychological health has become an important factor affecting people's quality of life. College stage is not only the key period of knowledge learning and ideological and moral training, and it is but also an important period of cultivating psychological health, social adaptation and perfecting personality. At present, due to the increasing expectations and concerns of families, schools and society for young people, as well as the increasing social competition, these pressures are increasing day by day, threatening the formation of positive and healthy personality of young people. Domestic studies have shown that mental diseases have become an important cause of College Students' sick leave, withdrawal, addiction, crime and suicide [1–4]. Therefore, we should pay attention to the psychological health education of college students, and deeply analyze their psychological health status and its relationship with personality traits, school, family, society and other influencing factors. Only in this way can we carry out targeted psychological counseling, psychological counseling and health education to help them successfully complete the transition from middle school stage to college stage, and lay a solid foundation for them to adapt to the society in the future.
There are many effect factors of psychological health. Some studies showed that there was a certain association between the personality traits of college students and their psychological status. Some studies showed that the proportion of college students with bad personality traits and mental disorders was increasing in China [5]. Psychological investigation on college students also found that Symptom Checklist-90 (SCL-90) and Eysenck Personality Questionaire (EPQ) scores were correlated, the more unstable the mood and higher psychoticism of the students, the more likely they were to have psychological problems [6]. Some researchers used the Big Five Inventory (BFI) to investigate college students, the results showed that different gender of college students had its significant difference in the aspect of the openness. The dimensions of the psychological health level had significant negative correlation with the extraversion, agreeableness, sense of responsibility, neuroticism factor, but openness was not significantly related to [7].
Social support refers that individuals who are in a dilemma have its meaningful groups, such as family members, friends, colleagues, relatives and neighbors, etc., providing action, emotional support and information help [8]. Studies suggested that there was a direct and indirect relationship between social support and psychological health. For example, there was a negative correlation relationship between depression and social support, that is, the lower the level of social support, the greater the probability of depression [9]. And good support network can help college students adjust their mood, establish positive attitude, improve their psychological endurance, and have a positive effect on reducing depression and anxiety [10, 11]. In addition, Internet addiction has caused great harm to the mental health of college students, and studies showed that social support was negatively correlated with Internet addiction among college students [12].
At present, the college students have been conducted a variety of psychological evaluation and measurement on accumulating a large number of psychological data in many universities. The traditional scale statistics and analysis methods can only obtain the surface information of psychological data, which was not efficient enough to use the data. As a result, many useful rules and patterns cannot be extracted, and psychological measurement did not fully play its role. Compared with the traditional methods, data mining technology has its unique advantages. It can mine the important information related to college students' psychological problems and effect factors, and find the potential relationship between the factors, etc. So far, a variety of data mining techniques have been applied to the study of college students' psychological problems. Some researchers had discussed and analyzed the feasibility of the decision tree algorithm in solving the psychological problems of vocational college students [13, 14]. Other researchers built a Bayesian network prediction model to analyze the potential relationship between student attributes and psychological test data, and the results showed that the model had good predictive power [15]. In addition, some studies discussed the role of cluster analysis in the prevention of psychological crisis [16]. If a variety of algorithms were introduced into the study of effect factors of college students' psychological health for comprehensive analysis, the importance of various effect factors and their relationships can be discussed more deeply, and more scientific and effective decision support can be provided for psychological health work.
This research adopted the decision tree, association analysis and cluster analysis algorithm to mine college students' personality traits and social support data based on R, found out the key factors that affect psychological health, and analysis the relationship among various effect factors. It will provide a scientific basis for planning, decision-making, enhance the pertinence and effectiveness of psychological health education.