A Random Forest Regression Model Predicting the Winners of Summer Olympic Events-Reference-Cited by-同舟云学术

A Random Forest Regression Model Predicting the Winners of Summer Olympic Events

Published:2020-05-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 2nd International Conference on Big Data Engineering
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Author:

Jia Mengjie¹,Zhao Yue¹,Chang Furong¹,Zhang Bofeng¹,Yoshigoe Kenji²

Affiliation:

1. School of Computer Engineering and Science, Shanghai University Shanghai, China

2. Toyo University, Tokyo, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3404512.3404513

Reference18 articles.

1. Daniel K. N. Johnson Ayfer Ali. "A Tale of Two Seasons: Participation and Medal Counts at the Summer and Winter Olympic Games". Wellesley College Department of Economics Working Paper 2002-02. Daniel K. N. Johnson Ayfer Ali. "A Tale of Two Seasons: Participation and Medal Counts at the Summer and Winter Olympic Games". Wellesley College Department of Economics Working Paper 2002-02.

2. Andrew B. Bernard Meghan R. Busse Review of Economics and Statistics p.413--417 2004. Andrew B. Bernard Meghan R. Busse Review of Economics and Statistics p.413--417 2004.

3. Modelling home advantage in the Summer Olympic Games;NJ BALMER, AM NEVILL, AM;Journal of Sports Sciences,2003

4. TIAN Lei LIU Wei-min LIU Dan. Study on Home Advantage in the Summer Olympic Games. China Sport Science and Technology 2008-01 TIAN Lei LIU Wei-min LIU Dan. Study on Home Advantage in the Summer Olympic Games. China Sport Science and Technology 2008-01

5. ZHANG Yuhua. Prediction of Chinese Delegation Medal Number in the Thirty-first session of Olympic Games by Linear Regression Dynamic Model. Journal of Henan Normal University(Natural Science Edition 2013-02 ZHANG Yuhua. Prediction of Chinese Delegation Medal Number in the Thirty-first session of Olympic Games by Linear Regression Dynamic Model. Journal of Henan Normal University(Natural Science Edition 2013-02