Predicting the future performance of soccer players-Reference-Cited by-同舟云学术

Predicting the future performance of soccer players

Published:2016-08-17 Issue:5 Volume:9 Page:373-382
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal

Author:

Arndt Cornelius¹,Brefeld Ulf²

Affiliation:

1. MaibornWolff GmbH 60329 Frankfurt/Main Germany

2. Machine Learning Group Leuphana University of Lüneburg 21335 Lüneburg Germany

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11321

Reference21 articles.

1. G.Bosc M.Kaytoue C.Raïssi andJ.‐F.Boulicaut Strategic pattern discovery in RTS‐games for e‐sport with sequential pattern mining In Proceedings of the ECML/PKDD 2013 Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA2013) 2013.

2. J. C.WeissandS.Childers Maps for reasoning in ultimate In Proceedings of the ECML/PKDD 2013 Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA2013) 2013.

3. R.Willer A.Sharkey andS.Freq Reciprocity on the hardwood: passing patterns among NBA players In Proceedings of the MIT Sloan Sports Analytics Conference 2012.

4. T. K.Clark A. W.Johnson andA. J.Stimpson Going for three: predicting the likelihood of field goal success with logistic regression In Proceedings of the MIT Sloan Sports Analytics Conference 2013.

5. G.GaneshapillaiandJ.Guttag Predicting the next pitch In Proceedings of the MIT Sloan Sports Analytics Conference 2012.

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