Graph-based Approaches for Analyzing Team Interaction on the Example of Soccer
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Authors
We present a graph-based approach to analyzing player interaction
in team sports. A simple pass-based representation is presented
that is subsequently used together with the PageRank algorithm to identify the importance of the players. Aggregating player scores to team values allows for turning our approach into a predictor of the winning team. We report on empirical results on five German Bundesliga seasons.
in team sports. A simple pass-based representation is presented
that is subsequently used together with the PageRank algorithm to identify the importance of the players. Aggregating player scores to team values allows for turning our approach into a predictor of the winning team. We report on empirical results on five German Bundesliga seasons.
Originalsprache | Englisch |
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Titel | Proceedings of the 2th Workshop on Machine Learning and Data Mining for Sports Analytics - MLSA 2015 |
Herausgeber | Jesse Davis, Jan Van Haaren |
Anzahl der Seiten | 8 |
Erscheinungsort | Achen |
Verlag | Sun Site Central Europe (RWTH Aachen University) |
Erscheinungsdatum | 2015 |
Seiten | 10-17 |
Publikationsstatus | Erschienen - 2015 |
Extern publiziert | Ja |
Veranstaltung | European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML/PKDD 2015 - Porto, Deutschland Dauer: 07.09.2015 → 11.09.2015 http://www.ecmlpkdd2018.org/ http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=40580©ownerid=30660 |
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