Description

• Title:
  Computer based sport talent identification
• Creator:
  Kaczanowski, Maciej
• Description:
  This paper presents the concept of the computer decision support system for talent identification in sport. In this concept the use of two methods was assumed: pattern recognition based on multicriteria optimization and machine learning supervised classification algorithm: decision forest. The data for sport dyscyplin patterns has obtained from publication (Santos, Dawson, Matias et al. 2014). This data also has been used to generate test data sets to research purposes. The researches were carried out in author’s application and in the cloud environment Microsoft Azure Machine Learning Studio. The results show that both methods can be used with success to talent identification in sport.
• Object availability:
  free access
• Rights:
  Prawa autorskie (c) 2018 Quality in Sport
• Date:
  2018.06.20
• Type:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion
• Language:
  Polish
• Source:
  Quality in Sport; Tom 3 Nr 4 (2017); 42-56;
  Quality in Sport; Vol. 3 No. 4 (2017); 42-56;
  2450-3118
• Format:
  application/pdf
• Publisher:
  University Center for Sports Research, Nicolaus Copernicus University, Torun, Poland
• Relation: https://apcz.umk.pl/QS/article/view/QS.2017.022/14988
• Subject:
  talent identification in sport;
  multicriteria optimization;
  machine learning;
  data science;
  identyfikacja talentów sportowych;
  optymalizacja wielokryterialna;
  uczenie maszynowe;
  nauka o danych
• Identifier: https://apcz.umk.pl/QS/article/view/QS.2017.022
• Data provider:
  Akademicka Platforma Czasopism
• Can I use it?:
  seek permission
• Type:
  text