数据挖掘技术在体育比赛技战术分析中的应用研究  

A Study of Data Mining Technology Applied on Technique and Tactic Analysis of Sport Competitions

作　　者：赵会群[1] 孙晶[2] 花勇民[1] 金季春[1] 

机构地区：[1]北京体育大学运动人体科学学院,北京100061 [2]北方工业大学信息工程学院,北京100041

出　　处：《北京体育大学学报》2008年第5期712-715,共4页Journal of Beijing Sport University

基　　金：北京市自然科学基金(编号:4062012);国家体育总局科研计划项目(项目号:);第四十期国家博士后基金项目(项目号:)资助

摘　　要：马尔科夫过程模型已经广泛地应用于系统可靠性评价中。基于马尔科夫模型系统关键因素分析方法被讨论,重点讨论了状态转移概率和状态可靠性灵敏度分析两种途径。给出系统可靠性差分概念后,提出了通过状态转移概率和状态可靠性增量分析系统可靠性差分的方法,具体分析了各个增量的选择条件。在上述讨论的基础上,给出系统关键因素数据挖掘算法。为了展示和验证算法的可行性和正确性,对乒乓球比赛制胜关进因素进行分析,实验结果表明提出的算法具有正确性和可行性。Markov Process Model has been widely used in system reliability evaluation. Based on the Markov Process Model the key factors that determine system reliability is discussed. Both approaches, the transition probability and the state probability instant analysis are concerned, Given the concept of system reliability deference, probability transition and state probability increment analysis method are provided. The selection condition of increment of probability transition and state probability deeply are discussed too. Based on the discussion above, a new data mining algoxithm is proposed. In order to demonstrate and prove the new algorithm, the technique and tactic analysis of table tennis match is carried out. The final analysis results show the correctness and the feasibility.

关 键 词：马尔科夫过程模型 数据挖掘 技战术分析 

分 类 号：G80[文化科学—运动人体科学]