决策树方法在网球训练中的应用  

Application of the Decision Tree in Tennis Trainings

作　　者：冯能山[1] 龙超[1] 熊金志[1] 廖国君[2] FENG Neng-shan, LONG Chao, XIONG Jin-zhi, LIAO Guo-jun （1. Computer College, Dongguan University of Technology, Dongguan 523808, China;2. Department of Physical Education, Dongguan University of Technology, Dongguan 523808, China）

机构地区：[1] 东莞理工学院计算机学院,广东东莞523808 [2] 东莞理工学院体育系,广东东莞523808

出　　处：《电脑知识与技术》2014年第8期5336-5339,共4页Computer Knowledge and Technology

基　　金：东莞市科技计划项目(No.2012108102027)资助

摘　　要：数据挖掘在体育领域的应用还比较少。如何利用好体育运动的训练数据，从中挖掘出有用信息，是数据挖掘技术在体育领域中的一项重要任务。决策树方法是一种常用的数据挖掘技术，该文把决策树方法应用于网球训练，对有关数据进行挖掘，形成一棵网球训练的决策树，从而协助体育工作人员更合理地制定网球训练方案，提高网球训练的效率。Nowadays it is still relatively rare to see the applications of data mining in the field of sports. However, applying data mining in sports can facilitate a more efficient way to use the data of sports training by digging out the relevant information. In this paper, the decision tree approach is applied in the tennis training to form a decision tree through digging out the relevant data. As a result, the application helps the staffs of sports to make a more rational tennis training program whereas the efficiency of ten-nis training can be improved.

关 键 词：数据挖掘 决策树 ID3算法 网球训练 

分 类 号：TP18[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程]