Feature Extraction of National Physical Fitness Data Based on Data Mining

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.

A Study on Digital Technology Enabling Smart Transformation of Fitness for All

“…Literature [11] empirically analyzed the construction of smart stadiums, and the results showed that through the development guidance and strategic adjustment of the construction of smart stadiums, the development power and sustainable operation capacity of stadiums were enhanced, and the development of national fitness was promoted. Literature [12] verified through experiments that the feature extraction method of national physical fitness data change based on data mining has high effectiveness in the process of practical application. It can better understand the changing trend of national physical fitness and put forward targeted suggestions for the optimization of national physical fitness and health.…”