Analysis and Research on Technical Characteristics of Basketball Players Based on Big Data Mining – Taking CBA League as an Example

DOI

10.2991/978-94-6463-198-2_154How to use a DOI?

Keywords

Big data mining; sports data analysis; CBA League

Abstract

In today’s world, With the rapid progress of information technology innovation, the development of big data is a necessity of the times, and the data mining technology is a signature product within the development of the big data era.This paper uses mathematical statistics and data mining technology to analyze and study the various data and technical characteristics of basketball players in CBA League, including technical application and shot selection.Thus, it is helpful for coaches to arrange game tactics, make training plans, make personnel adjustment decisions, and ultimately contribute to improving the team’s winning rate.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Lie Li
AU  - Suzi Tu
AU  - Weijing Xu
PY  - 2023
DA  - 2023/08/10
TI  - Analysis and Research on Technical Characteristics of Basketball Players Based on Big Data Mining – Taking CBA League as an Example
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 1485
EP  - 1493
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_154
DO  - 10.2991/978-94-6463-198-2_154
ID  - Li2023
ER  -