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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

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Communications in Computer and Information Science ; 1571Publisher: Cham : Springer International Publishing, 2022Publisher: Cham : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 Online-Ressource(X, 205 p. 62 illus., 57 illus. in color.)ISBN:
  • 9783031020445
Subject(s): Additional physical formats: 9783031020438 | 9783031020452 | Erscheint auch als: 9783031020438 Druck-Ausgabe | Erscheint auch als: 9783031020452 Druck-AusgabeDDC classification:
  • 006.3 23
DOI: DOI: 10.1007/978-3-031-02044-5Online resources: Summary: Football -- Other team sports -- Individual sports -- Non-physical sports.Summary: 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.PPN: PPN: 1801278512Package identifier: Produktsigel: ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS
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