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Based on C4 Design and Implementation of College Health Sports System Based on 5 Algorithm

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Application of Big Data, Blockchain, and Internet of Things for Education Informatization (BigIoT-EDU 2022)

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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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References

  1. Swadesi, I., Kanca, I.N., Wijaya, M.A.: Analysis of problems and challenges in teaching sports, health and physical education to students with disabilities. In: 5th Asian Education Symposium 2020 (AES 2020) (2021)

    Google Scholar 

  2. Yao, C.M., Poovendran, P., Kirubakaran, S.S.: Internet of things-based energy-efficient optimized heuristic framework to monitor sportsperson’s health. Technol. Health Care: Off. J. Eur. Soc. Eng. Med. 1, 1–14 (2021)

    Google Scholar 

  3. Badilla, P., Herrera-Valenzuela, T., Ramirez-Campillo, R., et al.: Effects of Olympic combat sports on older adults’ health status: a systematic review. Int. J. Environ. Res. Public Health (2021)

    Google Scholar 

  4. Li, F., Martínez, O.S., Aiswarya, R.S.: Internet of things-based smart wearable system to monitor sports person health. Technol. Health Care: Off. J. Eur. Soc. Eng. Med. 2021(8), 1–14 (2021)

    Google Scholar 

  5. Meech, J.T., Stanley-Marbell, P.: An algorithm for sensor data uncertainty quantification (2021)

    Google Scholar 

  6. Irawan, Y.: Penerapan algoritma decision tree C4.5 Untuk Memprediksi Kelayakan Calon Pendonor Melakukan Donor Darah Dengan Klasifikasi Data Mining. JTIM Jurnal Teknologi Informasi dan Multimedia 2(4), 181–189 (2021)

    Google Scholar 

  7. Yang, Y.: The evaluation of online education course performance using decision tree mining algorithm. Complexity 2021 (2021)

    Google Scholar 

  8. Zhang, T.: Analysis and design of university financial management system based on decision tree classification algorithm. In: 2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC). IEEE (2021)

    Google Scholar 

  9. Adhikari, S.: Data mining: a bagged decision tree classifier algorithm for ids intrusion detection system based attacks classification. Design Eng. (Toronto) 2021, 1826–1839 (2021)

    Google Scholar 

  10. Lightfoot, J.T., Roth, S.M., Hubal, M.J.: Systems exercise genetics research design standards. Med. Sci. Sports Exerc. 53, 883–887 (2021)

    Google Scholar 

  11. Siddiqui, S., Verma, A.: Designing of WSN based embedded system using wearable sports sensors: a theoretical approach (2021)

    Google Scholar 

  12. Kaya, D.G.: Views of sports sciences students about distance education during Covid-19: SWOT Analysis (2021)

    Google Scholar 

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Correspondence to Shaorong Lin .

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23946-5

  • Online ISBN: 978-3-031-23947-2

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