Abstract
Through the campus data sharing platform to realize the data sharing of various business systems in universities, so as to provide a comprehensive and accurate data foundation for the school to realize all-round information query, deeper data mining, intelligent decision-making and other research, and lay a foundation for the further realization of a smart campus Base. The purpose of this article is to study the integrated information sharing platform for college students based on data mining technology. This paper explores the intermediate model, uses the campus database to share the database, identifies the data sharing between the student information sharing system and the third-party business plan, and improves the performance of the general information database system on campus to facilitate the collation of student information by colleges and universities. It also provides flexibility for scientific research assistance. Experimental research shows that in the context of student information exchange, most students share knowledge on the knowledge exchange platform on average 1–6 times a day. This result shows that the number of students sharing knowledge through the platform is small, and some users are not effectively share knowledge in communication.
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Qin, M., Hu, Y. (2022). Integrated Information Sharing Platform for University Students Based on Data Mining Technology. In: Xu, Z., Alrabaee, S., Loyola-González, O., Zhang, X., Cahyani, N.D.W., Ab Rahman, N.H. (eds) Cyber Security Intelligence and Analytics. CSIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 125. Springer, Cham. https://doi.org/10.1007/978-3-030-97874-7_69
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DOI: https://doi.org/10.1007/978-3-030-97874-7_69
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