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Spatial performance analysis in basketball with CART, random forest and extremely randomized trees
This paper proposes tools for spatial performance analysis in basketball. In detail, we aim at representing maps of the court visualizing areas with different levels of scoring probability of the analysed player or team. To do that, we propose the adoption of algorithmic modeling techniques. Firstly...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164576/ https://www.ncbi.nlm.nih.gov/pubmed/35677064 http://dx.doi.org/10.1007/s10479-022-04784-3 |