Logo: Deutsches Institut für Internationale Pädagogische Forschung

Publications

Publikationendatenbank

show results

Autor:
Brandt, Markus; Brefeld, Ulf:

Titel:
Graph-based approaches for analyzing team interaction on the example of soccer

Quelle:
In: ECML/PKDD (Hrsg.): Proceedings of the ECML/PKDD Workshop on Machine Learning and Data Mining for Sports Analytics 11 September 2015 Porto, Portugal Porto : European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2015) , 8

URL des Volltextes:
https://dtai.cs.kuleuven.be/events/MLSA15/papers/mlsa15_submission_3.pdf

Sprache:
Englisch

Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings

Schlagwörter:
Deutschland, Fußball, Gruppe, Interaktion, Prognose, Spiel, Sport


Abstract(englisch):
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. (DIPF/Orig.)


DIPF-Abteilung:
Informationszentrum Bildung

Notizen:

last modified Nov 11, 2016