An Information System for Training Assessment in Sports Analytics

Vanessa Meyer, Lena Wiese, Ahmed Al-Ghezi

2024

Abstract

This paper presents an information system that analyzes and visualizes sports and human activity data. Clustering is used to divide data into groups; however, the wide variation in methods for data preprocessing and clustering makes it difficult to decide on appropriate methods. Thus, for the analysis of clustering methods, we comparatively evaluate methods for preprocessing the data in addition to the different methods for clustering. In addition, our sports analytics information system provides an approach that is able to assign athletes to a cluster based on their individual features and hence provides an individual training assessment compared to the clusters obtained on the data. The proposed visualization approach in comparison to a certain cluster offers an intuitive solution for assessing the goodness of fit.

Paper Citation

in Harvard Style

Meyer V., Wiese L. and Al-Ghezi A. (2024). An Information System for Training Assessment in Sports Analytics. In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-692-7, SciTePress, pages 149-160. DOI: 10.5220/0012724200003690

in Bibtex Style

@conference{iceis24,
author={Vanessa Meyer and Lena Wiese and Ahmed Al-Ghezi},
title={An Information System for Training Assessment in Sports Analytics},
booktitle={Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2024},
pages={149-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012724200003690},
isbn={978-989-758-692-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - An Information System for Training Assessment in Sports Analytics
SN - 978-989-758-692-7
AU - Meyer V.
AU - Wiese L.
AU - Al-Ghezi A.
PY - 2024
SP - 149
EP - 160
DO - 10.5220/0012724200003690
PB - SciTePress