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Data mining techniques with its application to the dataset of mental health of college students

This paper introduced how to use the data mining tools IDA to, based on supervised learning rules, mine the data sets on mental health of college students and help us to discover useful information from three profiles: how to deal with the interpersonal relationship, attitudes on life values and how to evaluate university life. This kind of study found some common states and problem among college students. This kind of study help instructors to research measures about how to teach and assist students and find better methods to guide students so that they live a better life and have better careers.