基于数据挖掘技术的体育训练模式探究  

Research on Sports Training Mode Based on Data Mining Technology

作　　者：刘锦伟[1] LIU Jinwei(Xi’an Innovation College of Yanan University, Xi'an, Shanxi 710100, China)

机构地区：[1]延安大学西安创新学院,陕西西安710100

出　　处：《微型电脑应用》2020年第6期151-153,160,共4页Microcomputer Applications

摘　　要：体育行业的信息化产生了海量数据,迫切需要数据挖掘技术推动行业的深度发展。本文基于数据挖掘技术,详细介绍了数据挖掘技术的含义和常用方法,并根据体育训练的需要分别从需求分析、系统设计、需求实现等方面介绍了训练质量监控和临场战术统计系统。在系统的研究上,以某高校羽毛球队的训练情况为研究对象,利用运动训练临场监控与统计模块,根据Apriori算法得到有效的训练结果信息,为教练组制定和调整训练计划起辅助决策作用。该系统的应该将改善传统体育训练模式,对提高体育训练效率和质量、及时调整临场战术提高成绩都将起到积极作用。The informationization of sports industry has produced a large amount of data,hence it urgently needs data mining technology to promote the in-depth development of the industry.Based on data mining technology,this paper introduces the meaning and common methods of data mining technology in detail,and according to the needs of sports training,it introduces the training quality monitoring and on-the-spot tactical statistics system from the aspects of demand analysis,system design,demand realization,etc.In the system research,taking the training situation of a college badminton team as the research object,using the on-the-spot monitoring and statistics module of sports training,according to the Apriori algorithm,we can get the effective training result information,and play an auxiliary decision-making role for the coach group to make and adjust the training plan.The system can improve the traditional sports training mode,improve the efficiency and quality of sports training,and adjust the on-the-spot tactics in time to improve the performance.

关 键 词：数据挖掘 体育 训练模式 APRIORI算法 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]