Accès libre

Research on Early Warning Model of Wushu Event Broadcasting Right Operation Risk Based on Big Data XGBoost Algorithm

Xing Li

Xing Li

  • School of Management, Wuhan University of TechnologyWuhan, China
  • School of Sports, Handan UniversityHandan, China
Recherchez cet auteur sur
Sciendo|Google Scholar
Li, Xing
, 
Ying Ma

Ying Ma

School of Management, Wuhan University of TechnologyWuhan, China
Recherchez cet auteur sur
Sciendo|Google Scholar
Ma, Ying
, 
Zhiying Cui

Zhiying Cui

School of Sports, Handan UniversityHandan, China
Recherchez cet auteur sur
Sciendo|Google Scholar
Cui, Zhiying
 et 
Yongxia Cui

Yongxia Cui

School of Sports and Health Engineering, HeBei University of EngineeringHandan, China
Recherchez cet auteur sur
Sciendo|Google Scholar
Cui, Yongxia
  
26 févr. 2024
Research on Early Warning Model of Wushu Event Broadcasting Right Operation Risk Based on Big Data XGBoost Algorithm's Cover Image
À propos de cet article
Article précédent
Article suivant
Citez
Télécharger la couverture
Publié en ligne: 26 févr. 2024
Reçu: 10 janv. 2024
Accepté: 15 janv. 2024
DOI: https://doi.org/10.2478/amns-2024-0511
Mots clés
© 2024 Xing Li et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Li, Xing
School of Management, Wuhan University of TechnologyWuhan, China
School of Sports, Handan UniversityHandan, China
Ma, Ying
School of Management, Wuhan University of TechnologyWuhan, China
Cui, Zhiying
School of Sports, Handan UniversityHandan, China
Cui, Yongxia
School of Sports and Health Engineering, HeBei University of EngineeringHandan, China
Langue:
Anglais
Périodicité:
1 fois par an
Sujets de la revue:
Sciences de la vie, Sciences de la vie, autres, Mathématiques, Mathématiques appliquées, Mathématiques générales, Physique, Physique, autres
RSS Feed de la revue