Multifactorial analysis of factors influencing elite australian football match outcomes: a machine learning approach
By:
Authors
J. Fahey-Gilmour
School of Human Sciences (Exercise and Sport Science), University of Western Australia, Perth, Australia
Western Australia Institute of Sport, Perth, Australia
B. Dawson
School of Human Sciences (Exercise and Sport Science), University of Western Australia, Perth, Australia
P. Peeling
School of Human Sciences (Exercise and Sport Science), University of Western Australia, Perth, Australia
Perth, Australia
J. Heasman
Western Australia Institute of Sport, Perth, Australia
B. Rogalski
Western Australia Institute of Sport, Perth, Australia
DOI: https://doi.org/10.2478/ijcss-2019-0020 | Journal eISSN: 1684-4769
Language: English
Page range: 100 - 124
Published on: Dec 16, 2019
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year
Related subjects:
© 2019 J. Fahey-Gilmour, B. Dawson, P. Peeling, J. Heasman, B. Rogalski, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.