DocumentCode
176535
Title
Data mining techniques with its application to the dataset of mental health of college students
Author
Cui Yuan
Author_Institution
Dept. of Comput. Educ., Chengdu Med. Coll., Chengdu, China
fYear
2014
fDate
29-30 Sept. 2014
Firstpage
391
Lastpage
393
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on
Conference_Location
Ottawa, ON
Type
conf
DOI
10.1109/WARTIA.2014.6976277
Filename
6976277
Link To Document