Machine Learning and Data Mining for Sports Analytics 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings
tarafından
 
Brefeld, Ulf. editor.

Başlık
Machine Learning and Data Mining for Sports Analytics 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings

Yazar
Brefeld, Ulf. editor.

ISBN
9783030172749

Edisyon
1st ed. 2019.

Fiziksel Niteleme
X, 179 p. 57 illus., 41 illus. in color. online resource.

Seri
Lecture Notes in Artificial Intelligence ; 11330

Özet
This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018. The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer. .

Konu Başlığı
Artificial intelligence.
 
Data mining.
 
Mathematical statistics.
 
Pattern recognition.
 
Artificial Intelligence. https://scigraph.springernature.com/ontologies/product-market-codes/I21000
 
Data Mining and Knowledge Discovery. https://scigraph.springernature.com/ontologies/product-market-codes/I18030
 
Probability and Statistics in Computer Science. https://scigraph.springernature.com/ontologies/product-market-codes/I17036
 
Pattern Recognition. https://scigraph.springernature.com/ontologies/product-market-codes/I2203X

Yazar Ek Girişi
Brefeld, Ulf.
 
Davis, Jesse.
 
Van Haaren, Jan.
 
Zimmermann, Albrecht.

Ek Kurum Yazar
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-3-030-17274-9


Materyal TürüBarkodYer NumarasıDurumu/İade Tarihi
Electronic Book428474-1001Q334 -342Springer E-Book Collection