Machine Learning and Data Mining for Sports Analytics 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers /
Machine Learning and Data Mining for Sports Analytics 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers / [electronic resource] :
edited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann.
- 1st ed. 2023.
- X, 127 p. 47 illus., 38 illus. in color. online resource.
- Communications in Computer and Information Science, 1783 1865-0937 ; .
- Communications in Computer and Information Science, 1783 .
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.
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.
9783031275272
10.1007/978-3-031-27527-2 doi
Artificial intelligence.
Computer networks .
Application software.
Database management.
Software engineering.
Artificial Intelligence.
Computer Communication Networks.
Computer and Information Systems Applications.
Database Management System.
Software Engineering.
Q334-342 TA347.A78
006.3
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.
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.
9783031275272
10.1007/978-3-031-27527-2 doi
Artificial intelligence.
Computer networks .
Application software.
Database management.
Software engineering.
Artificial Intelligence.
Computer Communication Networks.
Computer and Information Systems Applications.
Database Management System.
Software Engineering.
Q334-342 TA347.A78
006.3