Guest editorial: Special issue on sports analytics-Reference-Cited by-同舟云学术

Guest editorial: Special issue on sports analytics

Published:2017-07-25 Issue:6 Volume:31 Page:1577-1579
ISSN:1384-5810
Container-title:Data Mining and Knowledge Discovery
language:en
Short-container-title:Data Min Knowl Disc

Author:

Brefeld Ulf,Zimmermann Albrecht

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://link.springer.com/article/10.1007/s10618-017-0530-1/fulltext.html

Reference5 articles.

1. Davis J, van Haaren J, Kaytoue M, Zimmermann A (2013) Machine learning and data mining for sports analytics. https://dtai.cs.kuleuven.be/events/MLSA17/

2. Lewis M (2004) Moneyball: the art of winning an unfair game. WW Norton & Company, New York

3. Lucey P, Morgan S, Wiens J, Yue Y (2016) KDD workshop on large-scale sports analytics. http://www.large-scale-sports-analytics.org/

4. MathSport International (2017). http://www.mathsportinternational.com

5. MIT Sloan School of Management (2017) MIT sloan sports analytics conference. http://www.sloansportsconference.com

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning and knowledge transfer by humans and digital platforms: which tools best support the decision-making process?;Journal of Knowledge Management;2023-07-26

2. Reimagining the role of technology in sport officiating: how artificial intelligence (AI) supports the design and delivery of ecologically dynamic development processes;Managing Sport and Leisure;2022-10-06

3. Graph Neural Networks to Predict Sports Outcomes;2021 IEEE International Conference on Big Data (Big Data);2021-12-15

4. Using multiple machine learning algorithms to classify elite and sub-elite goalkeepers in professional men’s football;Scientific Reports;2021-11-22

5. Filtering active moments in basketball games using data from players tracking systems;Annals of Operations Research;2021-11-16