Vai al contenuto principale della pagina
| Titolo: |
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 / / edited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Edizione: | 1st ed. 2019. |
| Descrizione fisica: | 1 online resource (X, 179 p. 57 illus., 41 illus. in color.) |
| Disciplina: | 006.31 |
| Soggetto topico: | Artificial intelligence |
| Data mining | |
| Computer science - Mathematics | |
| Mathematical statistics | |
| Pattern recognition systems | |
| Artificial Intelligence | |
| Data Mining and Knowledge Discovery | |
| Probability and Statistics in Computer Science | |
| Automated Pattern Recognition | |
| Persona (resp. second.): | BrefeldUlf |
| DavisJesse | |
| Van HaarenJan (Data scientist) | |
| ZimmermannAlbrecht | |
| Note generali: | Includes index. |
| Sommario/riassunto: | 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. . |
| Titolo autorizzato: | Machine learning and data mining for sports analytics ![]() |
| ISBN: | 3-030-17274-0 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910337855103321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |