Research Article
Design and Implementation of Student Physical Fitness Analysis System Based on Data Mining Technology
@INPROCEEDINGS{10.1007/978-3-031-23950-2_10, author={Chen Kun Zhang}, title={Design and Implementation of Student Physical Fitness Analysis System Based on Data Mining Technology}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29--31, 2022, Proceedings, Part I}, proceedings_a={BIGIOT-EDU}, year={2023}, month={1}, keywords={Students’ physical fitness Data mining Physical analysis System design}, doi={10.1007/978-3-031-23950-2_10} }- Chen Kun Zhang
Year: 2023
Design and Implementation of Student Physical Fitness Analysis System Based on Data Mining Technology
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-23950-2_10
Abstract
The student physique analysis system is based on data mining technology. The main purpose of this project is to develop a system that can predict students’ physical health level and provide them with appropriate guidance according to their needs, so that they can improve their health level. Data collected from students can be analyzed to determine their physical health level. In this project, we will use data mining technology to analyze data and develop a model, which can be used as the input of the final output. A model is a set of rules or algorithms used to predict results. This study provides students with opportunities to participate in various activities, such as games, sports and other activities related to their health. The application will help improve students’ overall performance by providing sufficient information about their current health status and its impact on other aspects (such as academic, social life, etc.).so it is difficult to give scientific guidance to students through complicated data. Taking the physical test data of colleges and universities as an example, Through data statistics, according to the performance evaluation standard in the national physical exercise standard, this paper obtains five basic indexes: cardiopulmonary function, muscle strength, muscle endurance, softness and obesity. Using decision tree C4 5.
