Prediction of Euroleague Games based on Supervised Classification Algorithm k-Nearest Neighbours (CROSBI ID 669461)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Horvat, Tomislav ; Job, Josip ; Medved, Vladimir
engleski
Prediction of Euroleague Games based on Supervised Classification Algorithm k-Nearest Neighbours
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.
Basketball, Classification, Database Analysis, Euroleague, Information System, k-Nearest Neighbours, Machine Learning, Prediction
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Podaci o prilogu
203-207.
2018.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 6th International Congress on Sport Sciences Research and Technology Support - Volume 1: K-BioS
Pezarat-Correia, Pedro. ; Vilas-Boas, João Paulo ; Rivera, Octavio ; Cabri, Jan
Setúbal: SCITEPRESS
978-989-758-325-4
Podaci o skupu
6th International Congress on Sport Sciences Research and Technology Support (icSPORTS 2018)
ostalo
20.09.2018-21.09.2018
Sevilla, Španjolska