Techniques of Fusion Association Rule Mining Algorithm Cheerleading Training Damage Prevention Application


Zhu L.

2nd International Conference on Forthcoming Networks and Sustainability in the IoT Era (FoNeS-IoT), ELECTR NETWORK, 8 - 09 January 2022, vol.129, pp.265-273 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 129
  • Doi Number: 10.1007/978-3-030-99616-1_35
  • Country: ELECTR NETWORK
  • Page Numbers: pp.265-273
  • Keywords: Association rule mining algorithm, Technique cheerleading, Injury prevention introduction
  • Istanbul University Affiliated: No

Abstract

In order to reduce the damage in the training process of cheerleaders in sports, this article applies the Association Rules Mining Algorithm (ARMA) to the training of technical support teams to prevent injuries, and seeks to prevent injuries through new vision, to build a correct analysis mode for cheerleading training games. According to the association rule mining algorithm, methods to reduce training injuries are proposed from four aspects: athletes, physical environment, social environment, and media.