Design and Application Analysis of College Students’ Psychological Early Warning System based on Mining Algorithm
- https://doi.org/10.2991/ahis.k.220601.039How to use a DOI?
- Big data technology; College Students’ psychology; Psychological warning; Dynamic management
The development of a psychological management system for university students has already been an important tool for monitoring and preventing the psychological crisis of college students. A large amount of data is stored in the student administration database of the University, but the data processing is simple statistics, memory, and inquiry. In this paper, the application of the big data technology in the present psychological management system is described. This can enlarge the investigation and selection index of the psychological crisis, realize the dynamic control of the psychological alarm data, and monitor the psychological situation of the high risk group in real time, and it can raise the early identification and the alarm accuracy and the effectiveness of the psychology crisis of the student.
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Cite this article
TY - CONF AU - jun Liao PY - 2022 DA - 2022/06/02 TI - Design and Application Analysis of College Students’ Psychological Early Warning System based on Mining Algorithm BT - Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021) PB - Atlantis Press SP - 201 EP - 205 SN - 2589-4919 UR - https://doi.org/10.2991/ahis.k.220601.039 DO - https://doi.org/10.2991/ahis.k.220601.039 ID - Liao2022 ER -