基于数据挖掘的乒乓球技战术多因素组合分析  

Analysis of multiple tactic factors of table tennis based on data mining

作　　者：胡斐[1] 

机构地区：[1]上海体育学院经济管理学院,上海200438

出　　处：《合肥工业大学学报（自然科学版）》2015年第11期1498-1501,共4页Journal of Hefei University of Technology：Natural Science

基　　金：国家体育总局科研资助项目(10A027)

摘　　要：在高水平的乒乓球比赛中,技战术的运用和得失分有着密切的联系。文章在借鉴经典关联数据挖掘方法的基础上,构建了乒乓球比赛的2种技战术多因素数据挖掘模式的算法,即顺次序关联分析与逆次序关联分析模式算法,并通过实例表明,多因素组合数据挖掘的信息更加具有针对性和指导作用。该方法已在实际比赛的技战术决策中得到了成功应用。In high-level table tennis matches, there is a close relation between the tactic and the result. Based on the classical association rule method, this paper designs two multiple factor data mining algorithms of table tennis tactic, i.e. sequence association analysis algorithm and inverted sequence association analysis algorithm. It is shown that the finding results are more reasonable and instrumental. The results have been successfully applied in real table tennis matches.

关 键 词：乒乓球 技战术 多因素 数据挖掘 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]