Research and Analysis of University Student Behavioral Profiles Based on Campus Data

被引：0

作者：

Zhang, Yajuan ^{[1
]}

Jing, Ru ^{[1
]}

Chen, Jie ^{[1
]}

Yang, Darun ^{[1
]}

机构：

[1] Hainan Vocat Univ Sci & Technol, Coll Informat Engn, Haikou 571126, Hainan, Peoples R China

来源：

PROCEEDINGS OF 2023 7TH INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION TECHNOLOGY AND COMPUTER ENGINEERING, EITCE 2023 | 2023年

基金：

海南省自然科学基金;

关键词：

campus big data; behavioral profiling; behavioral analysis;

D O I：

10.1145/3650400.3650548

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper is based on various types of campus data from universities, aiming to profile university students' behaviors. By comprehensively describing multiple dimensions and angles, it presents a comprehensive picture of students' information status during their academic years. Using data mining techniques, cluster analysis is performed on the behavioral profiles of university students to discover potential patterns and regularities in their learning and living habits. These analyses provide decision-making support for academic departments, helping them better understand the characteristics and needs of student groups.

引用

页码：873 / 877

页数：5

共 32 条

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