基于例证条件下的竞技体育大数据变革分析

An analysis of big data change in competitive sports based on the illustration condition

运用文献资料、例证分析、逻辑分析等方法,通过将竞技体育中事例与大数据变革方式进行针对性匹配和综合分析,旨在直观地呈现竞技体育大数据变革,对竞技体育大数据变革形成科学的认识。结果显示,全数据范式促进竞技体育研究逐渐由点-线模式向面-体模式转变,且单点式研究的纵向性更加深入和客观;非结构化数据的重视和利用,使竞技体育的价值得到更全面的挖掘;多指标间的相关关系研究为竞技体育因果本质研究提供基础,同时具有巨大的预测价值。

Based on the literature review, illustration analysis, and logical analysis, through targeted matching and comprehensive analysis of the cases in competitive sports and the way big data changes, this paper aims to visually present changes of big data of competitive sports, to form the scientific understanding of big data change in competitive sports. The results show that the all data paradigm promotes changes of the Study in competitive sports from point - line mode to the area - volume mode. The verticality of single point study becomes deeper and more objective. The value and use of unstructured data make competitive sports mined more comprehensively. The study on relationship between multiple indexes provides the basis for the study of the cause and effect in competitive sports, and also has great predictive value.