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Machine Learning and Data Mining for Sports Analytics 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings /

This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2020, colocated with ECML/PKDD 2020, in Ghent, Belgium, in September 2020. Due to the COVID-19 pandemic the conference was held online. The...

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Corporate Author: SpringerLink (Online service)
Other Authors: Brefeld, Ulf. (Editor, http://id.loc.gov/vocabulary/relators/edt), Davis, Jesse. (Editor, http://id.loc.gov/vocabulary/relators/edt), Van Haaren, Jan. (Editor, http://id.loc.gov/vocabulary/relators/edt), Zimmermann, Albrecht. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:Communications in Computer and Information Science, 1324
Subjects:
Artificial intelligence.
Computers.
Education—Data processing.
Application software.
Computer communication systems.
Artificial Intelligence.
Information Systems and Communication Service.
Computers and Education.
Computer Appl. in Social and Behavioral Sciences.
Computer Communication Networks.
Online Access:https://doi.org/10.1007/978-3-030-64912-8
Summary:This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2020, colocated with ECML/PKDD 2020, in Ghent, Belgium, in September 2020. Due to the COVID-19 pandemic the conference was held online. The 11 papers presented were carefully reviewed and selected from 22 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.
Physical Description:X, 141 p. 6 illus. online resource.
ISBN:9783030649128
ISSN:1865-0929 ;

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