Author(s)

Li Li

Corresponding Author

Li Li

Abstract

With the development of modern sports, the requirement for the comprehensive quality of athletes is getting higher and higher. According to the characteristics of sports, the level of athletes and the tasks of different training stages, the training proportion of the two is reasonably arranged, and the physical training and technical and tactical training are effectively combined. Therefore, in the process of training and training athletes, countries strive to standardize, scientific and innovative. On the basis of defining the concept of physical fitness training, this paper expounds the main composition of athletes' physical fitness level. Data mining is the process of extracting valuable knowledge from a large amount of data by using machine learning method. The athletes' sports training assisted decision support system constructed by data mining technology realizes the organic integration of different aspects of athletes, applies scientific training theory and advanced training methods to sports training management, and studies the athlete's special physical ability from the perspective of evaluation, to conduct a deep theoretical analysis of the athlete's special physical fitness characteristics, and build an athlete's special physical fitness evaluation index system.

Keywords

Data Mining, Athletes, Physical Training, Evaluation Index