Design of Data Mining and Evaluation System for College Students' Mental Health

被引：0

作者：

Zhang Xilin ^{[1
]}

Yi Honglian ^{[2
]}

机构：

[1] Dalian Univ Sci & Technol, Dalian 116052, Peoples R China

[2] Dalian Univ Technol, Dalian 116024, Peoples R China

来源：

2021 13TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2021) | 2021年

关键词：

data mining; mental health; MSSQL; 2015; Apriori; college students; CARE;

D O I：

10.1109/ICMTMA52658.2021.00132

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To deeply understand the main factors affecting college students' mental health and the relationship between psychological symptoms, this paper uses SQL Sever 2015 and Visual Basic 8.0 programming to design and implement a data mining system platform for students' psychological problems. Then the Apriori association rules mining is applied to college students' mental health evaluation data. In the practical application, a complete set of processing scheme for psychological evaluation data is proposed, including data integration, extraction, cleaning, conversion and a series of data preprocessing operations. Finally, the specific application of data mining of college students' psychological evaluation is realized, and the model lists the relationship between multiple attributes and three-dimensional psychological symptoms of college students, which also provides a reference for colleges and universities to take targeted psychological education.

引用

页码：575 / 578

页数：4

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