Machine Learning and Data Mining for Sports Analytics: Communications in Computer and Information Science, cartea 1571
Editat de Ulf Brefeld, Jesse Davis, Jan van Haaren, Albrecht Zimmermannen Limba Engleză Paperback – 4 mai 2022
The 12 full papers and 4 short papers presented were carefully reviewed and selected from 29 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: 9783031020438
ISBN-10: 303102043X
Pagini: 216
Ilustrații: X, 205 p. 62 illus., 57 illus. in color.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.34 kg
Ediția:1st edition 2022
Editura: Springer
Colecția Communications in Computer and Information Science
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
ISBN-10: 303102043X
Pagini: 216
Ilustrații: X, 205 p. 62 illus., 57 illus. in color.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.34 kg
Ediția:1st edition 2022
Editura: Springer
Colecția Communications in Computer and Information Science
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
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Cuprins
Football.- Other team sports.- Individual sports.- Non-physical sports.
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.
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.