Del 1783 - Communications in Computer and Information Science

Machine Learning and Data Mining for Sports Analytics

9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers

Häftad, Engelska, 2023

Av Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann

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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.

Produktinformation

Utgivningsdatum2023-02-25
Mått155 x 235 x 11 mm
Vikt228 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor127
FörlagSpringer International Publishing AG
ISBN9783031275265

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Programvaruutveckling inom Data och it
Hårdvara inom Data och it
Artificiell intelligens inom Data och it
Databaser inom Data och it

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.