Machine Learning and Data Mining for Sports Analytics
9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers
(Sprache: Englisch)
This book constitutes the refereed proceedings of the 9th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2022, held in Grenoble, France, during September 19, 2022.
The 10 full papers included in this book were...
The 10 full papers included in this book were...
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Klappentext zu „Machine Learning and Data Mining for Sports Analytics “
This book constitutes the refereed proceedings of the 9th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2022, held in Grenoble, France, during September 19, 2022. The 10 full papers included in this book were carefully reviewed and selected from 18 submissions. They were organized in topical sections as follows: Football, Racket sports, Cycling.
Inhaltsverzeichnis zu „Machine Learning and Data Mining for Sports Analytics “
Football.- Towards expected counter - Using comprehensible features to predict counterattacks.- Shot analysis in different levels of German football using Expected Goals.- Analyzing passing sequences for the prediction of goal-scoring opportunities.- Let's penetrate the defense: A machine learning model for prediction and valuation of penetrative passes.- Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction.- Cost-efficient and bias-robust sports player tracking by integrating GPS and video.- Racket sports.- Predicting tennis serve directions with machine learning.- Discovering and visualizing tactics in table tennis games based on subgroup discovery.- Cycling.- Athlete monitoring in professional road cycling using similarity search on time series data.
Bibliographische Angaben
- 2023, 1st ed. 2023, X, 127 Seiten, 38 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
- Verlag: Springer, Berlin
- ISBN-10: 3031275268
- ISBN-13: 9783031275265
Sprache:
Englisch
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