关键词: 网球技战术, 击球落点, 数据挖掘, 关联规则, 决策支持

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