Football Mining with R
Maurizio Carpita, Marco Sandri, Anna Simonetto and Paola Zuccolotto, Research Center “Data, Methods and Systems” Department of Economics and Management of the University of Brescia, Italy
Abstract
This chapter presents a data mining process for investigating the relationship between the outcome of a football match (win, lose, or draw) and a set of variables describing the actions of each team, using the R environment and selected R packages for statistical computing. The analyses were implemented with parallel computing when possible. Our goals were to identify, from hundreds of covariates, those that most strongly affect the probability of winning a match and to construct a small number of composite indicators ...
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