loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.14.249.104

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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; ISSN 2184-3201, SciTePress, 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},
issn={2184-3201},
}

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
IS - 2184-3201
AU - Horvat, T.
AU - Job, J.
AU - Medved, V.
PY - 2018
SP - 203
EP - 207
DO - 10.5220/0006893502030207
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic