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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cui Yuan |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Comput. Educ., Chengdu Med. Coll., Chengdu, China (Cui Yuan) |
| 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. |
| Starting Page | 391 |
| Ending Page | 393 |
| File Size | 1547435 |
| Page Count | 3 |
| File Format | |
| e-ISBN | 9781479969890 |
| DOI | 10.1109/WARTIA.2014.6976277 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-09-29 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Conferences Supervised learning Industry applications Psychology Mental health IDA Educational institutions Data models Data mining |
| Content Type | Text |
| Resource Type | Article |
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