刘天彪;Hohmann Andreas;陈丘;雷天悟;薛俊
LIU Tianbiao; Hohmann Andreas; CHEN Qiu; LEI Tianwu; XUE Jun

• 1:北京师范大学 体育与运动学院，北京 100875
• 2:德国拜罗伊特大学 体育系，拜罗伊特 95447
• 3:德国波恩大学 发展研究中心(ZEF)，波恩D-53113
• 4:河北工业大学 计算机科学与软件学院，天津 300401

摘要(Abstract)：

为解决足球比赛中“频繁出现的球员组合”问题，发现足球比赛中球员之间的关系，以数据挖掘为基础的比赛分析技术开始应用。本研究使用的比赛诊断分析方法改进了以往研究中的算法的数据结构，使之能够发现与创造得分机会有关的球员或球员关联，即“最佳球员（组合）”。以2012年“阿尔加夫杯”决赛中的德国女足和日本女足所有技战术行为发生的时间、区域以及涉及球员等特征为研究对象，利用比赛诊断分析方法对这2支球队进行诊断分析，发现其“频繁出现的球员组合”以及和得分机会有关的“最佳球员（组合）”。
In order to find out the "frequent player combinations" and connections between players in a football match, the data mining-based football game research has recently been developed. The performance analysis of this study based on updated data structure of previously used Apriori algorithm can help to identify a player or players in relation to chances of scoring. With a focus on time, zones, and related players of all the tactics and techniques of both teams in the final game of Algarve Cup 2012, the paper directed a performance analysis and found the "frequent player combinations" as well as the "Best players (combinations)" with chances of scoring.

关键词(KeyWords)： 女足比赛;进攻模式;Apriori算法;数据挖掘;阿尔加夫杯
women's football games;offense models;Apriori;data mining;Algare Cup

Abstract:

Keywords:

基金项目(Foundation): 教育部留学回国人员科研启动基金资助项目；中央高校基本科研业务费专项资金资助项目（北京师范大学青年教师基金资助项目，SKXJS2014013）

作者(Author): 刘天彪;Hohmann Andreas;陈丘;雷天悟;薛俊
LIU Tianbiao; Hohmann Andreas; CHEN Qiu; LEI Tianwu; XUE Jun

Email:

DOI: 10.16082/j.cnki.issn.1001-4578.2017.13

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