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Sports Training Strategies Based on Data Mining Technology.

Authors :
Niu, Mengran
Source :
Procedia Computer Science; 2023, Vol. 228, p847-856, 10p
Publication Year :
2023

Abstract

According to the demand of sports athletes' scientific training, combined with data mining technology, a set of sports training model which is suitable for China's national conditions and has a higher level of scientific research is established. Starting from the data mining technology, this paper expounds its connotation and several common methods in detail. Based on the demand of sports training, this paper studies the quality control of sports training and the statistical system of tactical combat. On this basis, an improved output method of Aprilio algorithm is introduced to enhance the correctness of systematic evaluation. On this basis, three algorithms, classic, DC-Apriori and modified Apriori, are simulated and compared. The results show that the improved Apriori algorithm studied in this project can provide better decision support for the training model. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18770509
Volume :
228
Database :
Supplemental Index
Journal :
Procedia Computer Science
Publication Type :
Academic Journal
Accession number :
173854139
Full Text :
https://doi.org/10.1016/j.procs.2023.11.112