Feature Extraction of National Physical Fitness Data Based on Data Mining

Ying Huang, Yang Li, Wengang Ren and Naeem Jan

Mathematical Problems in Engineering, 2022, vol. 2022, 1-11

Abstract: In order to better understand and optimize the national physical fitness, this paper puts forward the national physical fitness data change feature extraction method based on data mining, uses the decision tree and association rule data mining algorithm to collect the national physical fitness data in recent years, constructs the database to realize the effective data management, and uses the data mining algorithm to construct the physical fitness change feature evaluation index. Finally, through experiments, it is confirmed that the national physique data change feature extraction method based on data mining has high effectiveness in the process of practical application. It can better understand the national physique change trend and put forward targeted suggestions for national physique health optimization.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:5060057

DOI: 10.1155/2022/5060057

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