Machine Learning and Data Mining for Sports Analytics 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers
by
Brefeld, Ulf. editor.
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 Author
:
Brefeld, Ulf.
Davis, Jesse.
Van Haaren, Jan.
Zimmermann, Albrecht.
Added Corporate Author
:
SpringerLink (Online service)
Electronic Access
:
Library | Material Type | Item Barcode | Shelf Number | [[missing key: search.ChildField.HOLDING]] | Status |
---|
Online Library | E-Book | 520664-1001 | XX(520664.1) | | Elektronik Kütüphane |