Construction and application of data mining algorithm model for college students' physical fitness test based on big data technology

Tao Wu

doi:10.1117/12.3031044

19 July 2024 Construction and application of data mining algorithm model for college students' physical fitness test based on big data technology

Tao Wu

Author Affiliations +

Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 131815Y (2024) https://doi.org/10.1117/12.3031044
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China

Abstract

At present, the physical quality and health status of college students are declining year by year. Carrying out physical health test in colleges and universities can not only fully understand students' physical condition, but also evaluate the effect of school physical education teaching, and provide basis for further optimizing physical education teaching plan. Faced with a huge data sample, colleges and universities often lack corresponding analysis and processing means, and cannot directly obtain the overall characteristics of the data and judge its future development trend. In this regard, based on big data technology, this paper puts forward a set of construction scheme of data mining analysis model for college students' physical fitness test, and focuses on using Apriori association rule algorithm and K-means clustering algorithm to study college students' physical fitness data, and reflects the key factors affecting college students' physical health through data collection, data preprocessing, data mining and result analysis. Practice has proved that after analyzing and mining the physical fitness test data of male and female college students respectively, the strength quality of male students and the weight status of female students are the key factors affecting the physical fitness test results, and the overall student's performance changes are consistent with the trend of weight changes, so colleges and universities need to take corresponding measures to adjust and optimize the education and training plans of various projects.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Tao Wu "Construction and application of data mining algorithm model for college students' physical fitness test based on big data technology", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 131815Y (19 July 2024); https://doi.org/10.1117/12.3031044

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KEYWORDS

Data modeling

Data mining

Mining

Universities

Data processing

Analytical research

Detection and tracking algorithms

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