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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 / / edited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann



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Titolo: 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 / / edited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (X, 179 p. 57 illus., 41 illus. in color.)
Disciplina: 006.31
Soggetto topico: Artificial intelligence
Data mining
Computer science - Mathematics
Mathematical statistics
Pattern recognition systems
Artificial Intelligence
Data Mining and Knowledge Discovery
Probability and Statistics in Computer Science
Automated Pattern Recognition
Persona (resp. second.): BrefeldUlf
DavisJesse
Van HaarenJan (Data scientist)
ZimmermannAlbrecht
Note generali: Includes index.
Sommario/riassunto: 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. .
Titolo autorizzato: Machine learning and data mining for sports analytics  Visualizza cluster
ISBN: 3-030-17274-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910337855103321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Artificial Intelligence, . 2945-9141 ; ; 11330