摘要
随着体育事业的不断发展，大部分体育信息都是用信息技术存取和积累的。面对庞大的数据库和激烈的比赛竞争，将数据挖掘技术应用于体育领域将会成为一种趋势。该文研究数据挖掘技术的各种算法在体育训练中的应用情况，对基于决策树分类的网球训练算法、基于BP神经网络算法、基于关联规则的FP—tree算法进行了分析。最后在此基础上，研究了决策ID3算法的改进方向和可能出现的弊端，提出了数据挖掘技术未来应用到体育领域的研究方向。
With the continuous development of sports, most sports are using IT to access and accumulate. Faced with a huge database and fierce competition in the game, the data mining technology in the field of sports will become a trend. This study focuses mainly on the im- plementation of the various algorithms based on the data mining, which investigates the algorithm based on decision tree classification ap- plied to tennis, the algorithm based on BP neural network, and the FP-tree algorithm based on association rules. Finally, on the basis of the above method, the study analyzes the direction of improvement to and possible drawbacks of the decision-making ID3 algorithm, and pro- vides a way of research of data mining which will be applied to sports.
作者
徐建敏
区木华
熊金志
XU Jian-min, OU Mu-hua, XIONG Jin-zhi （Computer College, Dongguan University of Technology, Dongguan 523808, China）
出处
《电脑知识与技术》
2012年第8期5492-5495,共4页
Computer Knowledge and Technology
