Open AccessRETRACTED: A Feasibility Study on Improving the Quality of Sports Competitions Based on Big Data Analysis
Author(s) -
Guangjian Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1883/1/012138
Subject(s) - quality (philosophy) , big data , athletes , competition (biology) , china , computer science , data science , engineering management , engineering , political science , data mining , medicine , ecology , philosophy , epistemology , biology , law , physical therapy
With the development of China’s sports power development strategy, the quality of sports competitions also needs to be further improved. Only in this way can we better play its role in promoting sports and sports. The application of big data technology is an important way to improve the quality of sports competitions. Big data technology can not only comprehensively mine and collect sports competition data, but also perform objective, comprehensive and efficient analysis and processing of massive technologies. This will not only provide better protection for athletes, but also provide spectators with a better watching experience, thus laying a good foundation for comprehensively improving the quality of sports competitions.