网球技战术关联分析数据挖掘研究  

Research on data mining of tennis techniques and tactics based on theory of association

作　　者：梁成军[1] 虞丽娟[2] 王继红[2] 

机构地区：[1]辽宁师范大学体育学院,辽宁大连116029 [2]上海体育学院学院办公室,上海200438

出　　处：《计算机工程与应用》2012年第7期246-248,共3页Computer Engineering and Applications

基　　金：上海市科委重点科技攻关计划资助项目(No.072705128)

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。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.

关 键 词：网球技战术 击球落点 数据挖掘 关联规则 决策支持 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]