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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1321649185
Art des Inhalts Konferenzschrift
Titel Machine Learning and Data Mining for Sports Analytics : 10th International Workshop, MLSA 2023, Turin, Italy, September 18, 2023, Revised Selected Papers / edited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
Person(en) Brefeld, Ulf (Herausgeber)
Davis, Jesse (Herausgeber)
Haaren, Jan van (Herausgeber)
Zimmermann, Albrecht (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2024
Verlag Cham : Springer Nature Switzerland, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2024
Umfang/Format Online-Ressource, X, 204 p. 56 illus., 49 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-3-031-53832-2
Printed edition:: ISBN: 978-3-031-53834-6
Inhalt Sports Data Analytics: An Art and a Science -- Foot ball/ soccer -- ETSY: A rule-based approach to Event and Tracking data Synchronization -- Masked Autoencoder Pretraining for Event Classi cation in Elite Soccer -- Quanti cation of Turnover Danger with xCounter -- Pass Receiver and Outcome Prediction in Soccer Using Temporal -- Graph Networks -- Field Depth Matters: Comparing the Valuation of Passes in Football -- Basket ball -- Momentum matters: investigating high-pressure situations in the NBA through scoring probability -- Are Sports Awards About Sports? Using AI to Find the Answer -- The Big Three: a practical framework for designing Decision Support -- Systems in Sports and an application for basketball -- Ot her t eam sp ort s -- What data should be collected for a good handball Expected Goal model? .-Identifying Player Roles in Ice Hockey -- Position Prediction -- Boat speed prediction in SailGP -- Individual sp ort s -- Exploring Table Tennis Analytics: Domination, Expected Score and Shot Diversity -- Specialization Evaluation -- Exploiting Clustering for Sports Data Analysis: A Study of Public and Real-world Datasets
Persistent Identifier URN: urn:nbn:de:101:1-2024022603070539827393
DOI: 10.1007/978-3-031-53833-9
URL https://doi.org/10.1007/978-3-031-53833-9
ISBN/Einband/Preis 978-3-031-53833-9
Sprache(n) Englisch (eng)
Beziehungen Communications in Computer and Information Science ; 2035
DDC-Notation 796.01 (maschinell ermittelte DDC-Kurznotation)
Sachgruppe(n) 796 Sport

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