Abstract: The results of tennis match are greatly influenced by the level of techniques and tactics decision-making, and how to find the characteristics of athletes’ techniques and tactics from mass data is an urgent problem which is needed to be solved, in order to make up for the insufficiency of traditional statistical method and provide scientific basis for tennis techniques and tactics decision-making. Based on association data mining theory and the Weka data mining platform, association data mining model is established, which is about the association between the stroke location and score of tennis techniques and tactics. Specific case research is carried out, and the research results indicate that the model is capable of providing objective and scientific decision support for tennis techniques and tactics decision-making.

Key words: tennis techniques and tactics, stroke location, data mining, association rules, decision support

摘要： 网球比赛中技战术的决策水平对比赛结果有着十分重要的影响，如何从大量的技战术数据中找到运动员比赛中技战术特征与规律，以弥补传统统计手段的不足，为比赛中技战术正确决策提供科学依据是一个急需研究解决的问题。采用关联分析数据挖掘理论和依托Weka数据挖掘平台，建立了网球技战术击球落点与得失分之间的关联规则数据挖掘分析模型，进行了具体案例研究，为网球比赛技战术中的落点决策问题提供客观科学的决策支持。

关键词: 网球技战术, 击球落点, 数据挖掘, 关联规则, 决策支持