Abstract
Through integrating campus resources and remove data barriers, we can build a unified data management platform and overall behavior management platform for college students to mine, launder and analyze data that are previously scattered in multiple individual systems via the big data platform. While combining real-time online and offline data related to those students, the platform can analyze information about the study, life and work of students in campus from multiple dimensions, sketch out a profile for students based on their current conditions, and provide real-time targeted intervention and proper assistance for students who are experiencing huge mental ups and downs and dramatic changes in daily behavior data, so as to improve the efficiency of students’ daily management, enhance the maneuver capability of solving potential risks through in-advance intervention, and achieve delicacy management.
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Chen, W. (2021). Restructure of Data Mining Based Delicacy Management Platform for College Students. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_65
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DOI: https://doi.org/10.1007/978-3-030-51431-0_65
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