Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Rumena Komitova"'
Autor:
Henrik Biermann, Rumena Komitova, Dominik Raabe, Eric Müller-Budack, Ralph Ewerth, Daniel Memmert
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract The majority of soccer analysis studies investigates specific scenarios through the implementation of computational techniques, which involve the examination of either spatiotemporal position data (movement of players and the ball on the pit
Externí odkaz:
https://doaj.org/article/26d8e6a2d58d4933bdcff5059fa86d68
Publikováno v:
International Journal of Computer Science in Sport. 21:17-31
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3df2213cb3310b68fa09ab1ed1c418c3
https://doi.org/10.2478/ijcss-2022-0008
https://doi.org/10.2478/ijcss-2022-0008
Autor:
Dominik Raabe, Henrik Biermann, Manuel Bassek, Martin Wohlan, Rumena Komitova, Robert Rein, Tobias Kuppens Groot, Daniel Memmert
The present work introduces floodlight, an open source Python package built to support and automate team sport data analysis. It is specifically designed for the scientific analysis of spatiotemporal tracking data, event data, and game codes in disci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76b8261c8ef40c741c8abe80f3aff341
http://arxiv.org/abs/2206.02562
http://arxiv.org/abs/2206.02562
