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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

Research output: Books and anthologies › Conference proceedings › Research

Standard

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. / Brefeld, Ulf (Editor); Davis, Jesse (Editor); van Haaren, Jan (Editor) et al.
Cham: Springer International Publishing, 2020. 146 p. (Communications in Computer and Information Science; Vol. 1324).

Research output: Books and anthologies › Conference proceedings › Research

Harvard

Brefeld, U, Davis, J, van Haaren, J & Zimmermann, A (eds) 2020, 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. Communications in Computer and Information Science, vol. 1324, Springer International Publishing, Cham. https://doi.org/10.1007/978-3-030-64912-8

APA

Brefeld, U., Davis, J., van Haaren, J., & Zimmermann, A. (Eds.) (2020). 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. (Communications in Computer and Information Science; Vol. 1324). Springer International Publishing. https://doi.org/10.1007/978-3-030-64912-8

Vancouver

Brefeld U, (ed.), Davis J, (ed.), van Haaren J, (ed.), Zimmermann A, (ed.). 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. Cham: Springer International Publishing, 2020. 146 p. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-64912-8

Bibtex

@book{1d27d11dac2542a08aaac77108e03487,
title = "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",
abstract = "The Machine Learning and Data Mining for Sports Analytics (MLSA) workshop aims to bring people from outside of the Machine Learning and Data Mining community into contact with researchers from that community who are working on Sports Analytics.The 7th edition of the workshop was co-located with the European Conferenceon Machine Learning and Principles and Practice of Knowledge Discovery (ECMLPKDD 2020).Sports Analytics has been a steadily growing and rapidly evolving area over the last decade, both in US professional sports leagues and in European football leagues. The recent implementation of strict financial fair-play regulations in European football will definitely increase the importance of Sports Analytics in the coming years. In addition, there is the popularity of sports betting. The developed techniques are being used for decision support in all aspects of professional sports ...",
keywords = "Business informatics, artificial intelligence, computer hardware, computer systems, Computer vision, Correlation analysis, data handling, data integration, databases, Human-Computer Interaction (HCI), integrated data, machine learning, sensors, user interfaces",
editor = "Ulf Brefeld and Jesse Davis and {van Haaren}, Jan and Albrecht Zimmermann",
year = "2020",
doi = "10.1007/978-3-030-64912-8",
language = "English",
isbn = "978-3-030-64911-1",
series = "Communications in Computer and Information Science",
publisher = "Springer International Publishing",
address = "Switzerland",
note = "7th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2020, colocated with ECML/PKDD 2020, MLSA2020 ; Conference date: 14-09-2020 Through 18-09-2020",

}

RIS

TY - BOOK

T1 - Machine Learning and Data Mining for Sports Analytics

T2 - 7th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2020, colocated with ECML/PKDD 2020

A2 - Brefeld, Ulf

A2 - Davis, Jesse

A2 - van Haaren, Jan

A2 - Zimmermann, Albrecht

N1 - Conference code: 7

PY - 2020

Y1 - 2020

N2 - The Machine Learning and Data Mining for Sports Analytics (MLSA) workshop aims to bring people from outside of the Machine Learning and Data Mining community into contact with researchers from that community who are working on Sports Analytics.The 7th edition of the workshop was co-located with the European Conferenceon Machine Learning and Principles and Practice of Knowledge Discovery (ECMLPKDD 2020).Sports Analytics has been a steadily growing and rapidly evolving area over the last decade, both in US professional sports leagues and in European football leagues. The recent implementation of strict financial fair-play regulations in European football will definitely increase the importance of Sports Analytics in the coming years. In addition, there is the popularity of sports betting. The developed techniques are being used for decision support in all aspects of professional sports ...

AB - The Machine Learning and Data Mining for Sports Analytics (MLSA) workshop aims to bring people from outside of the Machine Learning and Data Mining community into contact with researchers from that community who are working on Sports Analytics.The 7th edition of the workshop was co-located with the European Conferenceon Machine Learning and Principles and Practice of Knowledge Discovery (ECMLPKDD 2020).Sports Analytics has been a steadily growing and rapidly evolving area over the last decade, both in US professional sports leagues and in European football leagues. The recent implementation of strict financial fair-play regulations in European football will definitely increase the importance of Sports Analytics in the coming years. In addition, there is the popularity of sports betting. The developed techniques are being used for decision support in all aspects of professional sports ...

KW - Business informatics

KW - artificial intelligence

KW - computer hardware

KW - computer systems

KW - Computer vision

KW - Correlation analysis

KW - data handling

KW - data integration

KW - databases

KW - Human-Computer Interaction (HCI)

KW - integrated data

KW - machine learning

KW - sensors

KW - user interfaces

UR - https://link.springer.com/book/10.1007%2F978-3-030-64912-8

UR - http://www.scopus.com/inward/record.url?scp=85098274957&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-64912-8

DO - 10.1007/978-3-030-64912-8

M3 - Conference proceedings

SN - 978-3-030-64911-1

T3 - Communications in Computer and Information Science

BT - Machine Learning and Data Mining for Sports Analytics

PB - Springer International Publishing

CY - Cham

Y2 - 14 September 2020 through 18 September 2020

ER -

Other publications by the same author(s)

Interactive sequential generative models for team sports

Fassmeyer, D., Cordes, M. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 15 p., 38.

Research output: Journal contributions › Journal articles › Research › peer-review

Joint Item Response Models for Manual and Automatic Scores on Open-Ended Test Items

Bengs, D., Brefeld, U., Kroehne, U. & Zehner, F., 2025, (Accepted/In press) In: Psychometrika.

Research output: Journal contributions › Journal articles › Research › peer-review

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

Brefeld, U. (Editor), Davis, J. (Editor), Van Haaren, J. (Editor) & Zimmermann, A. (Editor), 2025, Cham: Springer Verlag. 119 p. (Communications in Computer and Information Science; vol. 2460)

Research output: Books and anthologies › Conference proceedings › Research

Masked autoencoder for multiagent trajectories

Rudolph, Y. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 18 p., 44.

Research output: Journal contributions › Journal articles › Research › peer-review

The promise and challenges of computer mouse trajectories in DMHIs – A feasibility study on pre-treatment dropout predictions

Zantvoort, K., Matthiesen, J., Bjurner, P., Bendix, M., Brefeld, U., Funk, B. & Kaldo, V., 06.2025, In: Internet Interventions. 40, 7 p., 100828.

Research output: Journal contributions › Journal articles › Research › peer-review

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