1. //
  2. Start
  3. //
  4. Publications
  5. Machine Learning and Data Mining for Spo...
  6. Output formats
  7. //

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

Self-improvement for Computerized Adaptive Testing

Rudolph, Y., Neubauer, K. & Brefeld, U., 23.09.2025, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings. Ribeiro, R. P., Pfahringer, B., Japkowicz, N., Larrañaga, P., Jorge, A. M., Soares, C., Abreu, P. H. & Gama, J. (eds.). Vol. 2. p. 70-86 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence); vol. 16014).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

DOI

Recently viewed

Researchers

  1. Thomas Gann

Activities

  1. Digitalization and cross-border knowledge transfer: The impact on international assignments
  2. Response to Philip Hogh: Suffering, Pain and the Idea of Progress
  3. Math Trails with an Inclusive Perspective on Students Experiences
  4. International Conference on Social Computing - SocialCom ASE/IEEE 2013
  5. Praxis Englisch (Fachzeitschrift)
  6. Open-Ended Issues - 2015
  7. Peter G. Mahaffy
  8. Authenticity in modelling test items
  9. Agrobiodiversity between conservation and use - examples from Germany
  10. Design based knowledge production in transdisciplinary Sustainability Science
  11. An Evidence-based Approach to the Assessment of Public Participation in Environmental Governance: A conceptual and methodological overview of the ‘EDGE’ project
  12. Project Workshop on "Worker Flows, Match Quality, and Productivity" - 2019
  13. Practices of Place Work in the Legitimation of Entrepreneurial Ecosystems
  14. Sino-German Summer School on Design and data analysis of biodiversity-ecosystem functioning experiments 2011
  15. Anarchism as a Framework for Rethinking Educational Authority
  16. User Modeling and User-Adapted Interaction: The Journal of Personalization Research (Zeitschrift)
  17. Administration 2.0
  18. Curating Diversity in Global Performance Art

Publications

  1. The impact of explicit references in computer supported collaborative learning: Evidence from eye movement analyses
  2. Trajectory tracking using MPC and a velocity observer for flat actuator systems in automotive applications
  3. Test of advanced hyperfine structure theory by precision radio-frequency and laser spectroscopy in molybdenum
  4. Insights into creep behavior of Mg–14Gd–1Zn–0.4Zr (wt.%) alloy containing β- and γ-type precipitates
  5. How does telework modify informal workplace learning and how can supervisors provide support?
  6. Distributable Modular Software Framework for Manufacturing Systems
  7. Improvements in Flexibility depend on Stretching Duration
  8. Confidence levels and likelihood terms in IPCC reports
  9. Control system strategy of a modular omnidirectional AGV
  10. The Benefit of Web- and Computer-Based Interventions for Stress
  11. Using Long-Duration Static Stretch Training to Counteract Strength and Flexibility Deficits in Moderately Trained Participants
  12. Achieving enhanced mechanical properties in Mg-Gd-Y-Zn-Mn alloy by altering dynamic recrystallization behavior via pre-ageing treatment
  13. Public Value: rethinking value creation
  14. How mobile app design impacts user responses to mixed self-tracking outcomes
  15. Almost-invariant and finite-time coherent sets
  16. Hedge Detection Using the RelHunter Approach
  17. Project-Mentoring in Engineering Education - a competence-oriented teaching and learning approach
  18. A Geometric Approach by Using Switching and Flatness Based Control in Electromechanical Actuators for Linear Motion
  19. Introduction
  20. WHICH ESTIMATION SITUATIONS ARE RELEVANT FOR A VALID ASSESSMENT OF MEASUREMENT ESTIMATION SKILLS
  21. The shooter bias: Replicating the classic effect and introducing a novel paradigm
  22. Individual Scans Fusion in Virtual Knowledge Base for Navigation of Mobile Robotic Group with 3D TVS
  23. Thanking and responding to thanks in American English: Language patterning and contextual appropriateness
  24. Short run comovement, persistent shocks and the business cycle
  25. Complexity of traffic scenes and EEG-measures of processing workload in car driving
  26. Experimental investigation of the fluid-structure interaction during deep drawing of fiber metal laminates in the in-situ hybridization process