Machine Learning And Data Mining For Sports Analytics


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Machine Learning and Data Mining for Sports Analytics


Machine Learning and Data Mining for Sports Analytics

Author: Ulf Brefeld

language: en

Publisher: Springer Nature

Release Date: 2024-02-25


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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.

Machine Learning and Data Mining for Sports Analytics


Machine Learning and Data Mining for Sports Analytics

Author: Ulf Brefeld

language: en

Publisher: Springer Nature

Release Date: 2025-03-25


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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. They are grouped into the following topics: Individual sports; Basketball; Soccer; Other team sports/e-Sports.

Machine Learning and Data Mining for Sports Analytics


Machine Learning and Data Mining for Sports Analytics

Author: Ulf Brefeld

language: en

Publisher: Springer

Release Date: 2019-04-06


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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.