Research on the Data Mining Technology in College Students' Attendance System Based on the Big Data Architecture

被引:0
作者
Jian, Zhong [1 ]
机构
[1] Guangdong Polytech Normal Univ, Tianhe Coll, Guangzhou 510540, Guangdong, Peoples R China
来源
CYBER SECURITY INTELLIGENCE AND ANALYTICS | 2020年 / 928卷
关键词
Big data architecture system; College students; Attendance system; Data mining technology;
D O I
10.1007/978-3-030-15235-2_25
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the development and improvement of the information technologies, the increasing of the upper application systems and the rapid expansion of the data accumulated in the campus information environment, a typical campus big data environment has initially been formed. Because of the characteristics of the higher education, students' mobility is great and their learning environment is uncertain, so that the students' attendance mostly used the manual naming. The student attendance system based on the big data architecture is relying on the campus network, and adopting the appropriate sensors. Through the data mining technology, combined with the campus One Card solution, we can realize the management of the attendance without naming in class. It can not only strengthen the management of the students, but can also improve the management levels of the colleges and universities.
引用
收藏
页码:162 / 167
页数:6
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