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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2013 Vol.5(5): 812-815 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2013.V5.802

Football Result Prediction with Bayesian Network in Spanish League-Barcelona Team

Farzin Owramipur, Parinaz Eskandarian, and Faezeh Sadat Mozneb
Abstract—The problem of modeling football data has become increasingly popular in the last few years and many different models have been proposed with the aim of estimating the characteristics that bring a team to lose or win a game, or to predict the score of a particular match. We propose a Bayesian Network (BN) to predict results of football matches. During the last decade, Bayesian networks (and probabilistic graphical models in general) have become very popular in artificial intelligence. In this paper, we look at the performance of a BN in the area of predicting the result of football matches involving Barcelona FC. The period under study was the 2008-2009 season in Spanish football league and we test its performance. We get necessary information about football states from valid websites. This BN is used for prediction of football results in future matches.

Index Terms—Bayesian network, football result prediction, football data, simulation, prediction

The authors are with the Department of Computer Engineering, Islamic Azad University, Boukan branch, Boukan, Iran (e-mail: cefarzin@gmail.com, parinazeskandarian@yahoo.com, f.mozneb@gmail.com).

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Cite:Farzin Owramipur, Parinaz Eskandarian, and Faezeh Sadat Mozneb, "Football Result Prediction with Bayesian Network in Spanish League-Barcelona Team," International Journal of Computer Theory and Engineering vol. 5, no. 5, pp. 812-815, 2013.

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