Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Malagón Selma, María del Pilar"'
[ES] Esta tesis doctoral se centra en el estudio, implementación y aplicación de técnicas de aprendizaje automático y estadística multivariante en el emergente campo de la analítica deportiva, concretamente en el fútbol. Se aplican procedimien
Externí odkaz:
http://hdl.handle.net/10251/197630
Publikováno v:
4th International Conference on Advanced Research Methods and Analytics (CARMA 2022).
[EN] Search popularity, as reported by Google Trends, has previously been demonstrated to be useful when studying many time series. However, its use in cross-section studies is not straightforward because search popularity is not provided in absolute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f92b70a5f9488d3ae27a1e306e44dc3b
https://doi.org/10.4995/carma2022.2022.15067
https://doi.org/10.4995/carma2022.2022.15067
[EN] This research proposes multivariate techniques for discovering the game actions that contribute to the final ranking of football teams. This study uses data from the "Big Five" teams that competed in the Bundesliga First Division, Premier League
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1560::400a4eb8214cdf7a69055b649df048f3
https://hdl.handle.net/10251/192527
https://hdl.handle.net/10251/192527
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[ES] Este trabajo analiza el rendimiento en el terreno de juego de jugadores profesionales de las grandes ligas europeas de fútbol durante la temporada 2017-18 a partir de estrategias y técnicas de Machine Learning y Big Data como el análisis de c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::dcd2d1e619cffbc087ff1751752f2d6b
http://hdl.handle.net/10251/129491
http://hdl.handle.net/10251/129491