Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: An application to rugby union.
Given a set of sequences comprised of time-ordered events, sequential pattern mining is useful to identify frequent subsequences from different sequences or within the same sequence. However, in sport, these techniques cannot determine the importance of particular patterns of play to good or bad out...
Guardado en:
Autores principales: | Rory Bunker, Keisuke Fujii, Hiroyuki Hanada, Ichiro Takeuchi |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/dfe1febd088d490dab8b490614e50928 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Mining Non-Zero-Rare Sequential Patterns On Activity Recognition
por: Mohammad Iqbal, et al.
Publicado: (2019) -
Mining the sequential patterns of water quality preceding the biological status of waterbodies
por: Corinne Grac, et al.
Publicado: (2021) -
Scapular Winging following Sports-Related Injury in a Rugby Player
por: Shinya Ishizuka, et al.
Publicado: (2021) -
Head Accelerations during a 1-on-1 Rugby Tackling Drill Performed by Experienced Rugby Union Players
por: Tahere Reha, et al.
Publicado: (2021) -
Strategic tool to estimate the consumption patterns of non-residents spectators at sporting events (Liga NOS): Adaptation to Portuguese reality
por: Gonçalo Quintal, et al.
Publicado: (2016)