The level of technical and tactical decision-making in a tennis game has a very important impact on the outcome of the game. How to discover the characteristics and rules of the game from a large amount of technical and tactical data, how to overcome the shortcomings of traditional statistical methods, and how to provide a scientific basis for correct decision-making are a top priority. Based on 5G and association analysis data mining theory, we established a data mining model for tennis technical offensive tactics and association rules and conducted specific case studies. It can calculate the maximization and distribution rate of certain technologies, also distinguish between the athlete’s gain and loss rate and the spatial position on the track, and use artificial statistical methods to cause errors and subjective participation. This solution provides objective and scientific decision support for this problem and is used in the decision-making of the landing point in tennis match technology and tactics. Experimental simulation shows that the data mining technology analysis system used for regional tennis matches is more concise, efficient, and accurate than traditional movie analysis methods.

中文翻译：

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基于5G和数据挖掘技术的网球单打比赛特征分析。

网球比赛中的技术和战术决策水平对比赛的结果有非常重要的影响。如何从大量的技术和战术数据中发现游戏的特征和规则，如何克服传统统计方法的缺点，以及如何为正确的决策提供科学依据是当务之急。基于5G和关联分析数据挖掘理论，我们建立了网球技术进攻战术和关联规则的数据挖掘模型，并进行了具体案例研究。它可以计算某些技术的最大化和分配率，还可以区分运动员的得失率和在赛道上的空间位置，并使用人工统计方法引起错误和主观参与。该解决方案为该问题提供了客观科学的决策支持，并用于网球比赛技术和战术中着陆点的决策。实验仿真表明，用于区域网球比赛的数据挖掘技术分析系统比传统的电影分析方法更加简洁，高效，准确。