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Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers

Publikation: Bücher und Anthologien › Konferenzbände und -dokumentationen › Forschung

Standard

Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers. / Brefeld, Ulf (Herausgeber*in); Davis, Jesse (Herausgeber*in); Van Haaren, Jan (Herausgeber*in) et al.
Cham: Springer Verlag, 2025. 119 S. (Communications in Computer and Information Science; Band 2460).

Publikation: Bücher und Anthologien › Konferenzbände und -dokumentationen › Forschung

Harvard

Brefeld, U, Davis, J, Van Haaren, J & Zimmermann, A (Hrsg.) 2025, Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers. Communications in Computer and Information Science, Bd. 2460, Springer Verlag, Cham. https://doi.org/10.1007/978-3-031-86692-0

APA

Brefeld, U., Davis, J., Van Haaren, J., & Zimmermann, A. (Hrsg.) (2025). Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers. (Communications in Computer and Information Science; Band 2460). Springer Verlag. https://doi.org/10.1007/978-3-031-86692-0

Vancouver

Brefeld U, (ed.), Davis J, (ed.), Van Haaren J, (ed.), Zimmermann A, (ed.). Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers. Cham: Springer Verlag, 2025. 119 S. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-86692-0

Bibtex

@book{916cfedd7b264980a925420090c65dba,
title = "Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers",
abstract = "The proceedings contain 9 papers. The special focus in this conference is on Machine Learning and Data Mining for Sports Analytics. The topics include: Large Language Models on Race Commentary: Towards Granular Data in Cycling Analytics; GraphEIV: A Framework for Estimating the Expected Immediate Value in Basketball Using Graph Neural Networks; mathematical Models for Off-Ball Scoring Prediction in Basketball; an Analysis of the Influence of Game Context on Team Playing Style; Augmented Intelligence for FIFA Predictions; transformer-Based Framework for Versatile Analysis of Events Data in Soccer; Automated Detection of Shot Events in Game Phases Using GNSS Data from a Single Team.",
keywords = "Informatics",
editor = "Ulf Brefeld and Jesse Davis and {Van Haaren}, Jan and Albrecht Zimmermann",
year = "2025",
doi = "10.1007/978-3-031-86692-0",
language = "English",
isbn = "978-3-031-86691-3",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
address = "Germany",
note = "11th International Workshop on Machine Learning and Data Mining for Sports Analytics - MLSA 2024, MLSA 2024 ; Conference date: 09-09-2024 Through 09-09-2024",

}

RIS

TY - BOOK

T1 - Machine Learning and Data Mining for Sports Analytics

T2 - 11th International Workshop on Machine Learning and Data Mining for Sports Analytics - MLSA 2024

A2 - Brefeld, Ulf

A2 - Davis, Jesse

A2 - Van Haaren, Jan

A2 - Zimmermann, Albrecht

N1 - Conference code: 11

PY - 2025

Y1 - 2025

N2 - The proceedings contain 9 papers. The special focus in this conference is on Machine Learning and Data Mining for Sports Analytics. The topics include: Large Language Models on Race Commentary: Towards Granular Data in Cycling Analytics; GraphEIV: A Framework for Estimating the Expected Immediate Value in Basketball Using Graph Neural Networks; mathematical Models for Off-Ball Scoring Prediction in Basketball; an Analysis of the Influence of Game Context on Team Playing Style; Augmented Intelligence for FIFA Predictions; transformer-Based Framework for Versatile Analysis of Events Data in Soccer; Automated Detection of Shot Events in Game Phases Using GNSS Data from a Single Team.

AB - The proceedings contain 9 papers. The special focus in this conference is on Machine Learning and Data Mining for Sports Analytics. The topics include: Large Language Models on Race Commentary: Towards Granular Data in Cycling Analytics; GraphEIV: A Framework for Estimating the Expected Immediate Value in Basketball Using Graph Neural Networks; mathematical Models for Off-Ball Scoring Prediction in Basketball; an Analysis of the Influence of Game Context on Team Playing Style; Augmented Intelligence for FIFA Predictions; transformer-Based Framework for Versatile Analysis of Events Data in Soccer; Automated Detection of Shot Events in Game Phases Using GNSS Data from a Single Team.

KW - Informatics

UR - http://www.scopus.com/inward/record.url?scp=105002007939&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-86692-0

DO - 10.1007/978-3-031-86692-0

M3 - Conference proceedings

SN - 978-3-031-86691-3

T3 - Communications in Computer and Information Science

BT - Machine Learning and Data Mining for Sports Analytics

PB - Springer Verlag

CY - Cham

Y2 - 9 September 2024 through 9 September 2024

ER -

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DOI

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