<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Time series data mining deals with extracting useful and meaningful information from time series data. Recently, the increasing use of temporal data, in particular time series data, has received much attention in the literature. Since most of sports data contain time information, it is natural to consider the temporal dimension in form of time series. However, in sports, the effective use of time series data mining techniques is still under development. The main goal of this paper is therefore to serve as an introduction to time series data mining and a glossary for interested researchers from the sports community. The paper gives an overview about current data mining tasks and tries to identify their potential research direction for further investigation. Furthermore, we want to draw more attention with respect to the importance of mining approaches with sport data and their particular challenges beyond usual time series data mining tasks.</p>
</abstract>

Time series data mining deals with extracting useful and meaningful information from time series data. Recently, the increasing use of temporal data, in particular time series data, has received much attention in the literature. Since most of sports data contain time information, it is natural to consider the temporal dimension in form of time series. However, in sports, the effective use of time series data mining techniques is still under development. The main goal of this paper is therefore to serve as an introduction to time series data mining and a glossary for interested researchers from the sports community. The paper gives an overview about current data mining tasks and tries to identify their potential research direction for further investigation. Furthermore, we want to draw more attention with respect to the importance of mining approaches with sport data and their particular challenges beyond usual time series data mining tasks.

Time Series Data Mining for Sport Data: a Review

International Journal of Computer Science in Sport

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Time Series Data Mining for Sport Data: a Review"}

Time series data mining deals with extracting useful and meaningful information from time series data. Recently, the increasing use of temporal data, in...

Time Series Data Mining for Sport Data: a Review

Publié en ligne: 17 janv. 2023

Pages: 17 - 31

DOI: https://doi.org/10.2478/ijcss-2022-0008

Mots clés
DATA MINING, TIME SERIES, REPRESENTATION, TIME SERIES SIMILARITY MEASURES, CLASSIFICATION, CLUSTERING, SPORT SCIENCE

© 2022 Rumena Komitova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Time Series Data Mining for Sport Data: a Review

Publié en ligne: 17 janv. 2023

Pages: 17 - 31

DOI: https://doi.org/10.2478/ijcss-2022-0008

Mots clésDATA MINING, TIME SERIES, REPRESENTATION, TIME SERIES SIMILARITY MEASURES, CLASSIFICATION, CLUSTERING, SPORT SCIENCE

© 2022 Rumena Komitova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
DATA MINING, TIME SERIES, REPRESENTATION, TIME SERIES SIMILARITY MEASURES, CLASSIFICATION, CLUSTERING, SPORT SCIENCE