Machine Learning and Data Mining for Sports Analytics / Lecture Notes in Computer Science Bd.11330 (PDF)
5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings
(Sprache: Englisch)
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...
The 12 full papers...
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Produktinformationen zu „Machine Learning and Data Mining for Sports Analytics / Lecture Notes in Computer Science Bd.11330 (PDF)“
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.
Bibliographische Angaben
- 2019, 1st ed. 2019, 179 Seiten, Englisch
- Herausgegeben: Ulf Brefeld, Jesse Davis, Jan van Haaren, Albrecht Zimmermann
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030172740
- ISBN-13: 9783030172749
- Erscheinungsdatum: 06.04.2019
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 41 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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