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  • Machine learning and data mining for sports analytics = 10th International Workshop, MLSA 2023, Turin, Italy, September 18, 2023 : revised selected papers /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Machine learning and data mining for sports analytics/ edited by Ulf Brefeld ... [et al.].
    Reminder of title: 10th International Workshop, MLSA 2023, Turin, Italy, September 18, 2023 : revised selected papers /
    remainder title: MLSA 2023
    other author: Brefeld, Ulf.
    corporate name: MLSA (Workshop)
    Published: Cham :Springer Nature Switzerland : : 2024.,
    Description: x, 204 p. :ill., digital ;24 cm.
    [NT 15003449]: 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.
    Contained By: Springer Nature eBook
    Subject: Machine learning - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-53833-9
    ISBN: 9783031538339
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