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Book
Machine Learning and Data Mining for Sports Analytics : 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings
Authors: --- --- ---
ISBN: 3030172740 3030172732 Year: 2019 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018. The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer. .


Multi
Machine Learning and Data Mining for Sports Analytics
Authors: --- --- --- ---
ISBN: 9783031275272 9783031275265 9783031275289 3031275276 Year: 2023 Publisher: Cham Springer Nature Switzerland :Imprint: Springer

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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.


Book
Machine Learning and Data Mining for Sports Analytics
Authors: --- --- --- ---
ISBN: 9783031538339 3031538331 Year: 2024 Publisher: Cham Springer Nature Switzerland :Imprint: Springer

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Abstract

This book constitutes the refereed proceedings of the 10th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2023, held in Turin, Italy, in September 2023. The 16 full papers included in this book were carefully reviewed and selected from 31 submissions. They were organized in topical sections as follows: Football/Soccer, Basketball, Other team sports, Individual sports.

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