As a competitive sport, basketball is the main content and skill analysis and in-depth analysis can improve its training effect. In order to dig deep into the characteristics of basketball competition and meet its actual training and teaching requirements, this paper proposes an action mining analysis method to make in-depth judgments to improve its recognition effect, the research results show that the characteristics of basketball and the characteristics of in-depth mining can not be increased by 20%, and the integrity of the sport can reach 75%, which can meet the actual sports training requirements, and the intelligent analysis method can analyze the characteristics of basketball and find out the causes and feature points of its movement. It provides support for later auxiliary analysis, and the excavation depth reaches more than 30%. The intelligent approach is a complementary to the competitive performance of basketball.

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The Application of Apriori Algorithm in Action Mining Common Technique in Basketball Games

  • Wanbin Su

摘要

As a competitive sport, basketball is the main content and skill analysis and in-depth analysis can improve its training effect. In order to dig deep into the characteristics of basketball competition and meet its actual training and teaching requirements, this paper proposes an action mining analysis method to make in-depth judgments to improve its recognition effect, the research results show that the characteristics of basketball and the characteristics of in-depth mining can not be increased by 20%, and the integrity of the sport can reach 75%, which can meet the actual sports training requirements, and the intelligent analysis method can analyze the characteristics of basketball and find out the causes and feature points of its movement. It provides support for later auxiliary analysis, and the excavation depth reaches more than 30%. The intelligent approach is a complementary to the competitive performance of basketball.