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

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

Author
Brefeld, Ulf. editor.

ISBN
9783031275272

Edition
1st ed. 2023.

Physical Description
X, 127 p. 47 illus., 38 illus. in color. online resource.

Series
Communications in Computer and Information Science, 1783

Contents
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.

Added Author
Brefeld, Ulf.
 
Davis, Jesse.
 
Van Haaren, Jan.
 
Zimmermann, Albrecht.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-031-27527-2


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book520664-1001XX(520664.1)Elektronik Kütüphane