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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2016
License: CC BY NC ND
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2016
License: CC BY NC ND
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Predicción de equipo ganador en el baloncesto

Authors: Morate Vázquez, Jorge;

Predicción de equipo ganador en el baloncesto

Abstract

El objetivo principal de este proyecto es poder predecir y clasificar correctameEl objetivo principal de este proyecto es poder predecir y clasificar correctamente qué equipo de la NBA (National Basketball Association) ganará un partido concreto, en base a datos previos y objetivos de la temporada regular 2015/2016. Paralelamente, se realizará otro experimento para predecir qué equipo será el primero en anotar una canasta en cada partido. El objetivo de esta observación es el de comprobar si realmente este hecho ocurre de manera no predecible. Para llevar a cabo ambas experimentaciones, se van a emplear distintas técnicas de aprendizaje automático con el fin de poder evaluar los resultados desde diferentes enfoques. Con el mejor modelo clasificador, se explotará el sistema sobre un conjunto de partidos apostando dinero en función de las predicciones del mismo. Doble Grado en Ingeniería Informática y Administración de Empresas

Country
Spain
Related Organizations
Keywords

Informática, Aprendizaje, Previsión, Apuestas deportivas, Baloncesto, Minería de datos, Inteligencia artificial

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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