Machine Learning and Data Mining for Sports Analytics: 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers: Communications in Computer and Information Science, cartea 1783
Editat de Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermannen Limba Engleză Paperback – 25 feb 2023
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.
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Specificații
ISBN-13: 9783031275265
ISBN-10: 3031275268
Pagini: 127
Ilustrații: X, 127 p. 47 illus., 38 illus. in color.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.2 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031275268
Pagini: 127
Ilustrații: X, 127 p. 47 illus., 38 illus. in color.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.2 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
Cuprins
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.