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Authors: Tomislav Horvat 1 ; Josip Job 2 and Vladimir Medved 3

Affiliations: 1 Department of Electrical Engineering, University North, 104. brigade 3, Varaždin and Croatia ; 2 Chair of Visual Computing, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Josip Juraj Strossmayer University of Osijek, Osijek and Croatia ; 3 Department of General and Applied Kinesiology, Faculty of Kinesiology, University of Zagreb, Zagreb and Croatia

ISBN: 978-989-758-325-4

Keyword(s): Basketball, Classification, Database Analysis, Euroleague, Information System, k-Nearest Neighbours, Machine Learning, Prediction.

Abstract: Machine learning becomes one of the top fields in world of ICT (Information and communications technology). In the last few decades machine learning has taken a big boost in sports. Sport fans are using machine learning in sport betting and sport managers are using it for player selection, performance evaluation and even in outcome prediction. This paper gives basketball outcome prediction algorithms using k-nearest neighbours (k-nn). Few methods of preparing data calculated with different k and time period for k-nn algorithm will be presented and closely explained. Feature selection will also be discussed and results based on feature selection will be presented.

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Paper citation in several formats:
Horvat, T.; Job, J. and Medved, V. (2018). Prediction of Euroleague Games based on Supervised Classification Algorithm k-Nearest Neighbours.In Proceedings of the 6th International Congress on Sport Sciences Research and Technology Support - Volume 1: K-BioS, ISBN 978-989-758-325-4, pages 203-207. DOI: 10.5220/0006893502030207

@conference{k-bios18,
author={Tomislav Horvat. and Josip Job. and Vladimir Medved.},
title={Prediction of Euroleague Games based on Supervised Classification Algorithm k-Nearest Neighbours},
booktitle={Proceedings of the 6th International Congress on Sport Sciences Research and Technology Support - Volume 1: K-BioS,},
year={2018},
pages={203-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006893502030207},
isbn={978-989-758-325-4},
}

TY - CONF

JO - Proceedings of the 6th International Congress on Sport Sciences Research and Technology Support - Volume 1: K-BioS,
TI - Prediction of Euroleague Games based on Supervised Classification Algorithm k-Nearest Neighbours
SN - 978-989-758-325-4
AU - Horvat, T.
AU - Job, J.
AU - Medved, V.
PY - 2018
SP - 203
EP - 207
DO - 10.5220/0006893502030207

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