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 anthologiesConference proceedingsResearch

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 AG, 2020. 146 p. (Communications in Computer and Information Science; Vol. 1324).

Research output: Books and anthologiesConference proceedingsResearch

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 AG, 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 AG. 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 AG, 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 AG",
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 AG

CY - Cham

Y2 - 14 September 2020 through 18 September 2020

ER -

Recently viewed

Publications

  1. Latente Bewertungsmuster in komplexen Entscheidungsprozessen
  2. Eine strukturelle Version der Theorie der Statusinkonsistenz
  3. Eigene Wege entdecken - Das Linzer Konzept der Klassenführung
  4. Die Finanzierung des Flächenrecyclings durch Kreditinstitute
  5. Convergence of adaptive learning and expectational stability
  6. Controlling invasive plant species in ecological restoration
  7. Biodiversität im unternehmerischen Nachhaltigkeitsmanagement
  8. Armut und Gesundheit - Herausforderung für die Soziale Arbeit
  9. Action tendencies and characteristics of environmental risks
  10. Was haben kommunale Bildungslandschaften mit Bildung zu tun?
  11. Was bleibt? Einige Überlegungen zum Medienereignis WikiLeaks
  12. Vom Konzept zur Konzeption: Das Sozioökonomische Curriculum
  13. Transdisciplinary sustainability research in real-world labs
  14. Tackling the knowledge-action gap in sustainable consumption
  15. Putting sustainable chemistry and resource use into context
  16. Pre-service teachers’ beliefs about multilingualism in school
  17. Later Life Workplace Index: Validation of an English Version
  18. Kompetenzmessung in der Bildung für nachhaltige Entwicklung.
  19. Kita und Kommune - Partner für eine nachhaltige Energiewende
  20. I’m so sorry
  21. Global temporal typing patterns in foreign language writing
  22. Geschlechtsspezifische Differenzierung im Förderunterricht
  23. Freiwilliges Engagement im Kontext von Flucht und Migration
  24. Forschendes Lernen im Masterstudiengang Systems Engineering
  25. Die naturkundlichen Modelle von Leopold und Rudolf Blaschka
  26. Die Einführung der fachkundigen Stellungnahme bei der Ich-AG
  27. Didaktische Materialien im mathematischen Anfangsunterricht
  28. Bilanz von neun Jahren SINUS an Grundschulen in Deutschland
  29. Archival or perceived measures of environmental uncertainty?
  30. A systematic literature review of machine learning canvases
  31. "Wir Ärzte strebten nach Ruhe und schlängelten uns so durch"
  32. "Werkzeuge" des unternehmerischen Nachhaltigkeitsmanagements
  33. Unterricht gemeinsam planen, durchführen und nachbesprechen
  34. Understanding the gender gap in immigrant entrepreneurship
  35. Transdisciplinary institutionalization in higher education
  36. Stabilisierung durch Implementieren, Sichern und Evaluieren
  37. Special aspects of TIMSS related to mathematical education
  38. Photodegradation of micropollutants using V-UV/UV-C processes
  39. Nachhaltigkeit, Wissensgesellschaft und lebenslanges Lernen
  40. Mediale Teilhabe in Technologien relationaler Verschaltung
  41. Learning from Indigenous Populations and Local Communities
  42. Gesundheit von alleinerziehenden Sozialhilfeempfängerinnen
  43. E-Government: Wirtschaftliche Symbiose von eAkten und pAkten
  44. Ecosystem services as a boundary object for sustainability
  45. Economic Analysis for the UK National Ecosystem Assessment
  46. Die westliche Altstadt Lüneburgs ... und sie bewegt sich doch
  47. Das extraordinäre Haus eines außerordentlichen Professors