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Machine learning and data mining for sports analytics9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and data mining for sports analyticsedited by Ulf Brefeld ... [et al.].
Reminder of title:	9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022 : revised selected papers /
remainder title:	MLSA 2022
other author:	Brefeld, Ulf.
corporate name:
Published:	Cham :Springer Nature Switzerland :2023.
Description:	x, 127 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-27527-2
ISBN:	9783031275272$q(electronic bk.)

Machine learning and data mining for sports analytics9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022 : revised selected papers /
Machine learning and data mining for sports analytics9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022 : revised selected papers /[electronic resource] :MLSA 2022edited by Ulf Brefeld ... [et al.]. - Cham :Springer Nature Switzerland :2023. - x, 127 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,17831865-0937 ;. - Communications in computer and information science ;229..

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.

ISBN: 9783031275272$q(electronic bk.)

Standard No.: 10.1007/978-3-031-27527-2doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .M57 2022

Dewey Class. No.: 006.31

Machine learning and data mining for sports analytics9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022 : revised selected papers /
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520 $a 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.
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