Construction of a New Basketball Game Data Analysis Platform Based on Data Analysis

Authors

  • Xiaopeng Chen Taiyuan University of Technology, Jinzhong 030600, Shanxi, China
  • Dongbo Shi Taiyuan University of Technology, Jinzhong 030600, Shanxi, China.

Keywords:

Block Chain, Edge Computing, Machine Learning, Basketball, Data Analysis, Platform Construction.

Abstract

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.

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Published

2024-07-02

How to Cite

Construction of a New Basketball Game Data Analysis Platform Based on Data Analysis. (2024). Revista De Psicología Del Deporte (Journal of Sport Psychology), 33(2), 76-89. https://mail.rpd-online.com/index.php/rpd/article/view/1701