Machine Learning and Data Mining for Sports Analytics : 8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, 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 : 8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers / / edited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Edizione: | 1st ed. 2022. |
| Descrizione fisica: | 1 online resource (211 pages) |
| Disciplina: | 006.312 |
| Soggetto topico: | Artificial intelligence |
| Computer engineering | |
| Computer networks | |
| Image processing - Digital techniques | |
| Computer vision | |
| Application software | |
| Artificial Intelligence | |
| Computer Engineering and Networks | |
| Computer Imaging, Vision, Pattern Recognition and Graphics | |
| Computer and Information Systems Applications | |
| Persona (resp. second.): | BrefeldUlf |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | Football -- Other team sports -- Individual sports -- Non-physical sports. |
| Sommario/riassunto: | This book constitutes the refereed post-conference proceedings of the 8th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2021, held as virtual event in September 2021. 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. |
| Titolo autorizzato: | Machine learning and data mining for sports analytics |
| ISBN: | 3-031-02044-8 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910568266003321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Communications in Computer and Information Science, . 1865-0937 ; ; 1571