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  5. Machine Learning and Data Mining for Sports Analytics

Machine Learning and Data Mining for Sports Analytics

- 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings

del av Lecture Notes in Computer Science-serien

del av Lecture Notes in Artificial Intelligence-serien

Machine Learning and Data Mining for Sports Analytics
Om Machine Learning and Data Mining for Sports Analytics

This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018. The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer.

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  • Språk:
  • Engelska
  • ISBN:
  • 9783030172732
  • Format:
  • Häftad
  • Sidor:
  • 179
  • Utgiven:
  • 7. april 2019
  • Utgåva:
  • 12019
  • Mått:
  • 155x235x0 mm.
  • Vikt:
  • 454 g.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 19. december 2024
Förlängd ångerrätt till 31. januari 2025

Beskrivning av Machine Learning and Data Mining for Sports Analytics

This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018.
The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer.

Användarnas betyg av Machine Learning and Data Mining for Sports Analytics



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