Machine Learning and Data Mining for Sports Analytics 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers
tarafından
 
Brefeld, Ulf. editor.

Başlık
Machine Learning and Data Mining for Sports Analytics 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers

Yazar
Brefeld, Ulf. editor.

ISBN
9783031275272

Basım Bilgisi
1st ed. 2023.

Fiziksel Tanımlama
X, 127 p. 47 illus., 38 illus. in color. online resource.

Seri
Communications in Computer and Information Science, 1783

İçerik
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.

Yazar Ek Girişi
Brefeld, Ulf.
 
Davis, Jesse.
 
Van Haaren, Jan.
 
Zimmermann, Albrecht.

Tüzel Kişi Ek Girişi
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-3-031-27527-2


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