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
1. Auflage 2019
ISBN: 978-3-030-17273-2
Verlag: Springer International Publishing

Buch, Englisch, Band 11330, 179 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 300 g

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Brefeld, Ulf

Zimmermann, Albrecht

Davis, Jesse

Haaren, Jan van

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
• Sozialwissenschaften Sport | Tourismus | Freizeit Sport Sport: Politik, Ökonomie, Ökologie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining