Title :
Data mining techniques with its application to the dataset of mental health of college students
Author_Institution :
Dept. of Comput. Educ., Chengdu Med. Coll., Chengdu, China
Abstract :
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.
Keywords :
data mining; learning (artificial intelligence); psychology; IDA; college students; data mining technique; data mining tools; mental health dataset; supervised learning rules; Conferences; Data mining; Data models; Educational institutions; Industry applications; Psychology; Supervised learning; Data mining; IDA; Mental health;
Conference_Titel :
Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
DOI :
10.1109/WARTIA.2014.6976277
