Abstract
In recent years, football has been highly valued by the state. In order to strengthen the cultivation of football talents in China, colleges and universities have carried out a series of college football matches and training plans. However, the traditional analysis methods of football techniques and tactics are relatively backward, which mainly rely on the experience of coaches to make judgments. Data mining technology has good scientific analysis ability, but its application in football training field is still in its infancy. Therefore, this paper puts forward the application of Apriori algorithm in college football technical and tactical analysis. In this paper, the Apriori algorithm and college football technology and tactics are deeply studied and analyzed. It is believed that the application of Apriori algorithm can further strengthen the training ability of the team, which plays an important reference role in the analysis of football technology and tactics, and is conducive to improving the comprehensive competitiveness of the team. In this paper, Apriori algorithm is designed and optimized according to its characteristics. On the basis of simplifying the steps and optimizing the structure, it can better meet the training and analysis needs of college football techniques and tactics. In order to further verify the actual effect of this method, the corresponding test experiments are carried out. In this paper, we can see that the ball break rate of the team is only 58% when the success rate of the ball is increased by 58%.
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Ye, L., Hu, W. (2022). Application of Apriori Algorithm in College Football Technical and Tactical Analysis. In: Hung, J.C., Chang, JW., Pei, Y., Wu, WC. (eds) Innovative Computing . Lecture Notes in Electrical Engineering, vol 791. Springer, Singapore. https://doi.org/10.1007/978-981-16-4258-6_77
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DOI: https://doi.org/10.1007/978-981-16-4258-6_77
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