Acceso usuarios
Xiaopeng Chen, Dongbo Shi
With basketball as an iconic sport, better data processing models will drive sports games to be played more efficiently. As an important sport in China, basketball has a history of more than 100 years. With the leap development of basketball, data analysis technology has also been widely used. The data seen in basketball games is a set of systematic data formed by professional workers through division of labor and close cooperation, classification and aggregation and statistical analysis. In addition, based on the information on the court, spectators get a general idea of how the players are performing in the game and predict where the data will go. This article explores the significance and application of basketball game data analysis methods. Combining the outstanding advantages of block chain, edge computing and machine learning in today's data analysis, this paper proposes a new basketball game data analysis platform based on the above three technologies shows that the analysis of basketball game data can effectively promote the development of basketball.
