Dataset for Machine Learning, Complex Networks and Optimization in Soccer

Published: 31 March 2020| Version 1 | DOI: 10.17632/4hfskh9ndw.1
Contributor:
Lucas Félix

Description

In this repository we make available two datasets of research on soccer analysis data. - baseNormalizada - is a dataset that joins real data of soccer players transfers with athletes abilities gathered from the eletronic soccer game FIFA. - Network_dataset - is a dataset that gatheres all major soccer transfers that occured on the soccer world between 1990 - 2017. For both datasets we make available the crawler for future updates.

Files

Institutions

Universidade Federal de Sao Joao del-Rei, Universidade Federal de Minas Gerais

Categories

Constrained Optimization, Machine Learning Algorithm, Graph Theory

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