Design and Application Analysis of College Students’ Psychological Early Warning System based on Mining Algorithm

DOI

10.2991/ahis.k.220601.039How to use a DOI?

Keywords

Big data technology; College Students’ psychology; Psychological warning; Dynamic management

Abstract

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.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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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  - 10.2991/ahis.k.220601.039
ID  - Liao2022
ER  -