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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 Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-3-031-27527-2Copies:
Available:*
Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
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Searching... | E-Book | 520664-1001 | XX(520664.1) | Searching... | Searching... |