Machine Learning and Data Mining for Sports Analytics : 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers / / edited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
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| Titolo: |
Machine Learning and Data Mining for Sports Analytics : 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers / / edited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
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| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Edizione: | 1st ed. 2025. |
| Descrizione fisica: | 1 online resource (X, 119 p. 43 illus., 38 illus. in color.) |
| Disciplina: | 006.3 |
| Soggetto topico: | Artificial intelligence |
| Computer networks | |
| Application software | |
| Database management | |
| Software engineering | |
| Artificial Intelligence | |
| Computer Communication Networks | |
| Computer and Information Systems Applications | |
| Database Management System | |
| Software Engineering | |
| Persona (resp. second.): | BrefeldUlf |
| DavisJesse | |
| HaarenJan van | |
| ZimmermannAlbrecht | |
| Nota di contenuto: | -- Individual sports. -- Characterizing Serves in Table Tennis. -- Large Language Models on Race Commentary: Towards Granular Data in Cycling Analytics. -- Basketball. -- GraphEIV: A Framework for Estimating the Expected Immediate Value in Basketball Using Graph Neural Networks. -- Mathematical models for "off-ball" scoring prediction in basketball. -- Soccer. -- An Analysis of the Influence of Game Context on Team Playing Style. -- Augmented Intelligence for FIFA Predictions. -- Transformer-based Framework for Versatile Analysis of Events Data in Soccer. -- Other team sports/e-Sports. -- Automated Detection of Shot Events in Game Phases Using GNSS Data from a Single Team. -- Team Dynamics in DotA2 through Attention Mechanism. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Machine learning and data mining for sports analytics |
| ISBN: | 3-031-86692-4 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910988386903321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Communications in Computer and Information Science, . 1865-0937 ; ; 2460