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Machine Learning and Data Mining for Sports Analytics
9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers
Taschenbuch von Ulf Brefeld (u. a.)
Sprache: Englisch

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Beschreibung
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.
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
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.
Details
Erscheinungsjahr: 2023
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 140
Reihe: Communications in Computer and Information Science
Inhalt: x
127 S.
9 s/w Illustr.
38 farbige Illustr.
127 p. 47 illus.
38 illus. in color.
ISBN-13: 9783031275265
ISBN-10: 3031275268
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Redaktion: Brefeld, Ulf
Zimmermann, Albrecht
Haaren, Jan van
Davis, Jesse
Herausgeber: Ulf Brefeld/Jesse Davis/Jan Van Haaren et al
Auflage: 1st ed. 2023
Hersteller: Springer Nature Switzerland
Springer International Publishing AG
Communications in Computer and Information Science
Maße: 235 x 155 x 8 mm
Von/Mit: Ulf Brefeld (u. a.)
Erscheinungsdatum: 25.02.2023
Gewicht: 0,224 kg
preigu-id: 126494849
Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2023
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 140
Reihe: Communications in Computer and Information Science
Inhalt: x
127 S.
9 s/w Illustr.
38 farbige Illustr.
127 p. 47 illus.
38 illus. in color.
ISBN-13: 9783031275265
ISBN-10: 3031275268
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Redaktion: Brefeld, Ulf
Zimmermann, Albrecht
Haaren, Jan van
Davis, Jesse
Herausgeber: Ulf Brefeld/Jesse Davis/Jan Van Haaren et al
Auflage: 1st ed. 2023
Hersteller: Springer Nature Switzerland
Springer International Publishing AG
Communications in Computer and Information Science
Maße: 235 x 155 x 8 mm
Von/Mit: Ulf Brefeld (u. a.)
Erscheinungsdatum: 25.02.2023
Gewicht: 0,224 kg
preigu-id: 126494849
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