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Machine Learning and Data Mining for Sports Analytics: Communications in Computer and Information Science, cartea 1324

Editat de Ulf Brefeld, Jesse Davis, Jan van Haaren, Albrecht Zimmermann
en Limba Engleză Paperback – 10 dec 2020
This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2020, colocated with ECML/PKDD 2020, in Ghent, Belgium, in September 2020. Due to the COVID-19 pandemic the conference was held online. 

The 11 papers presented were carefully reviewed and selected from 22 submissions. The papers present a variety of topics within the area of sports analytics, including tactical analysis, outcome predictions, data acquisition, performance optimization, and player evaluation.
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Specificații

ISBN-13: 9783030649111
ISBN-10: 3030649113
Pagini: 152
Ilustrații: X, 141 p. 6 illus.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.24 kg
Ediția:1st edition 2020
Editura: Springer
Colecția Communications in Computer and Information Science
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

Routine Inspection: A playbook for corner kicks.- How data availability aects the ability to learngood xG models.- Low-cost optical tracking of soccer players.- An Autoencoder Based Approach to SimulateSports Games.- Physical performance optimization in football.- Predicting Player Trajectoriesin Shot Situations in Soccer.- Stats Aren't Everything: Learning Strengths andWeaknesses of Cricket Players.- Prediction of tiers in the rankingof ice hockey players.- A Machine Learning Approach for Road CyclingRace Performance Prediction.- Mining Marathon Training Data to GenerateUseful User Proles.- Learning from partially labeled sequences forbehavioral signal annotation.




Descriere

Descriere de la o altă ediție sau format:
This book constitutes the refereed proceedings of the 11th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2024, held in Vilnius, Lithuania, on September 9, 2024. The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions.