Abstract
With the advent of the era of big data, it is particularly important to obtain the knowledge behind massive data through data mining. Spatial data is the basis of big data, which makes the significance of spatial data mining more prominent. Spatial classification is an active branch of spatial data mining in recent years. College students are the main force of China's socialist modernization. In the process of investigating the physique of college students, we found that the physique of college students showed an obvious downward trend. The reason for the decline of College Students’ physique is not only the relationship between schools, but also a serious social problem. This paper is based on C4 The system separates the data layer, business layer and user interface, and uses a structured relational database to provide different forms of user interfaces for the staff and members of the health and sports center. By modularizing the program design, the system meets the design requirements of high cohesion and low coupling, so as to provide efficient basic support for different applications of members and health and Sports Center staff. It is of great significance to guide the use of structured data in the operation of sqlserver, so as to help the operators to find the rules of structured data management.
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Lin, S. (2023). Based on C4 Design and Implementation of College Health Sports System Based on 5 Algorithm. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-031-23947-2_56
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DOI: https://doi.org/10.1007/978-3-031-23947-2_56
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