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数据挖掘技术在篮球赛事信息化发展中的应用 被引量:3

Application of data mining technology in the development of basketball events informatization
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摘要 科技时代,意味着数据化时代。在篮球赛事中,利用科技手段收集各种信息的同时也伴随着庞大的数据流,在大量的赛事数据里获取具备参考能力的多元化的数据是媒体、球迷、教练和球队建立者共同关注的重点。由于篮球赛事数据化的发展进步,篮球赛事产生的大量信息,就必须经过合理的方式和技术进行迅速分析和筛选,用来评测运动员的竞技状况,改变或者设计新的战略措施。本文先是介绍了数据挖掘技术运用在数据处理时的优点,然后结合国内篮球赛事数据化现况,论述了在篮球赛事数据化发展里采取数据挖掘技术来数据筛选的重要意义。 The age of science and technology means the era of data. In the basketball tournament, collect all kinds of information by the means of science and technology with huge data flow, in the event of large amounts of data access with reference to the capacity of di- versified data is the focus of media, the fans, the coach and the team of common concern. Due to the development and progress of basketball tournament data, a large amount of information generated by the basketball tournament, it must go through the reasonable way and rapid technical analysis and screening, used to evaluate the athlete status, change or design new strategy. This paper first introduces the application of data mining technology in data processing advantages, and then combined with the data of the current domestic basketball tournament, discusses the adopted data mining technology to the important significance of data selection in data development in basketball games.
作者 周轶枫
机构地区 商洛学院体育部
出处 《自动化与仪器仪表》 2017年第9期157-158,161,共3页 Automation & Instrumentation
关键词 大数据 篮球赛事 数据挖掘 big data basketball match data mining
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