Data Mining in Sports: A Systematic Review

被引:23
作者
Bonidia, R. P. [1 ]
Brancher, J. D. [2 ]
Busto, R. M. [3 ,4 ]
机构
[1] Univ Estadual Londrina, Ciencia Comp, Londrina, PR, Brazil
[2] Univ Estadual Londrina, Dept Comp, Londrina, PR, Brazil
[3] Univ Estadual Londrina, Londrina, PR, Brazil
[4] Univ Estadual Londrina, Ctr Educ Fis & Esporte, Londrina, PR, Brazil
关键词
Data Mining in Sports; Sports; Data Mining; ELITE SPORTS; INTELLIGENCE;
D O I
10.1109/TLA.2018.8291478
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Data mining technique has attracted attention in the information industry and society as a whole, because of the big amount of data and the imminent need to transform that data into useful information and knowledge. Recently conducted studies with successfully demarcated results using this technique, to estimate several parameters in a variety of domains. However, the effective use of data in some areas is still developing, as is the case of sports, which has shown moderate growth. In this context, the objective of this article is to present a systematic review of the literature about research involving sports data mining. As systematic searches were made out in five databases, resulting in 21 articles that answered a question that grounded this article.
引用
收藏
页码:232 / 239
页数:8
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