Abstract
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.
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Acknowledgment
Foundation Project: 2017 Youth Innovative Talents Project by Guangdong Provincial Department of Education (Natural Science), “Design and Application of the Intelligent Classroom Attendance and the Mobile Phone Use Restriction System Based on the WiFi Probe” (2017KQNCX269).
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Jian, Z. (2020). Research on the Data Mining Technology in College Students’ Attendance System Based on the Big Data Architecture. In: Xu, Z., Choo, KK., Dehghantanha, A., Parizi, R., Hammoudeh, M. (eds) Cyber Security Intelligence and Analytics. CSIA 2019. Advances in Intelligent Systems and Computing, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-030-15235-2_25
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DOI: https://doi.org/10.1007/978-3-030-15235-2_25
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