The Application of Data Mining in Sports Events
Authors
Yu-ping Jiao, Xia Li
Corresponding Author
Yu-ping Jiao
Available Online September 2016.
- DOI
- 10.2991/icence-16.2016.150How to use a DOI?
- Keywords
- Data mining; The Asian Games; Volleyball; Correlation analysis
- Abstract
In recent years, data mining has played a more and more important role in all fields and had an increasingly greater influence. By using association analysis of data mining and classification algorithm, this paper analyzes the result data of volleyball games, which were held in a university's volleyball venue during 2010 Guangzhou Asian Games. It studies the correlation between different competing countries, competition time and audience number and make correlation analysis between the competition results and athletes' physical qualities. These results may be significant for scientific game guidance and athlete selection.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yu-ping Jiao AU - Xia Li PY - 2016/09 DA - 2016/09 TI - The Application of Data Mining in Sports Events BT - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016) PB - Atlantis Press SP - 815 EP - 820 SN - 2352-538X UR - https://doi.org/10.2991/icence-16.2016.150 DO - 10.2991/icence-16.2016.150 ID - Jiao2016/09 ER -