从大数据中寻找提升空间:数据挖掘在羽毛球比赛技战术分析应用中的个案研究

Seeking Improvement with Big Data: A Case Study on the Application of Data Mining in Technical and Tactical Analysis of Badminton Games

DOI：10.12064/ssr.20210402

中文关键词:羽毛球技战术数据挖掘关联规则

英文关键词:badminton techniques and tactics data mining association rule

基金项目:

作者	单位
何施	湖北大学体育学院,湖北武汉 430062 。
赵文作	湖北大学体育学院,湖北武汉 430062 。
刘博	湖北大学体育学院,湖北武汉 430062 。
黄志剑	湖北大学体育学院,湖北武汉 430062 。

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中文摘要:

本研究拟从羽毛球运动员X的角度出发，通过建立关联规则模型对收集的数据进行分析，尝试在众多数据中寻找X的提升空间。通过文献资料的方法、访谈法制作羽毛球比赛技战术多维度信息记录表，利用编码规则采集整理数据，并用数理统计的方法进行分析。使用SPSS 21.0对数据进行初步统计及一致性检验，后通过使用SPSS Modeler 18.0对各项统计指标进行关联规则分析。通过分析可以发现运动员X的优势技战术有发网前短球、起跳腾空点杀、后退高远球、上步挑球等，且最后一拍直接得分的情况下相对稳定的落点位置是9→7→4；X相对较薄弱并有待提高的技战术有发后场球以及网前球的处理等。另外，通过比分形势与连续得失分、局分与得失分的关联规则，反映了X在处理困难局面上的心理坚韧性品质尚有较大的提升空间。

英文摘要:

From the perspective of the badminton player X, this study intends to analyze the collected data by establishing association rules, and to seek improvement for X from the numerous data. This study uses the methods of literature review and interview to make a multi-dimensional table recording the information of badminton competition techniques and tactics, uses the coding rules to collect and systematize the data, and uses the method of mathematical statistics to analyze the data. SPSS 21.0 is used for preliminary statistics and consistency test, and then SPSS modeler 18.0 is used to analyse association rules of various statistical indicators. The analysis shows that the badminton player X has advantageous techniques and tactics such as net shot service, takeoff kill, long high shot, and lifting. The landing position 9→7→4 is relatively stable when the player scored in the last stroke. Relatively X has weakness in techniques and tactics yet to improve including the handling of backcourt shots and net shots. In addition, according to the association rules of score situation, consecutive scores and losses, and game scores and losses, X still has much room for improvement in tenacity when facing ordeals.

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