Machine Learning and Data Mining for Sports Analytics
...
anglais | 25-02-2023 | 140 pages
9783031275265
Livre de poche
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Couverture / Jaquette
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.
Table des matières
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.
Détails
Code EAN : | 9783031275265 |
Editeur : | Springer Nature Switzerland-Springer International Publishing-Springer International Publishing |
Date de publication : | 25-02-2023 |
Format : | Livre de poche |
Langue(s) : | anglais |
Hauteur : | 235 mm |
Largeur : | 155 mm |
Epaisseur : | 8 mm |
Poids : | 224 gr |
Stock : | Impression à la demande (POD) |
Nombre de pages : | 140 |
Mots clés : | Artificial Intelligence; Computer vision; Human-computer interaction; Machine Learning; Neural Networks; Software Design; Software Engineering; software architecture |