NDLI: Hybrid System to Determine the Ranking of a Returning Participant in Eurovision

Content Provider	IEEE Xplore Digital Library
Author	Ochoa, A. Hernandez, A. Gonzalez, S. Jons, S. Padilla, A.
Copyright Year	2008
Description	Author affiliation: Inst. de Ing. y Tecnol., Univ. Autonoma de Ciudad Juarez, Juarez (Ochoa, A.)
Abstract	Many problems involve not structured environments which can be solved from the perspective of particle swarm optimization (PSO). In this research analyze the voting behavior in a popular song contest held every year in Europe. The dataset makes it possible to analyze the determinants of success, and gives a rare opportunity to run a direct test of vote trading from logrolling. We show that they are rather driven by linguistic and cultural proximities between singers and voting countries. With this information it is possible to predict the score of a new country, redistributed the assigned votes for a lot of the participants, this paper tries to explain this social behavior.
Starting Page	489
Ending Page	494
File Size	418387
Page Count	6
File Format	PDF
ISBN	9780769533261
DOI	10.1109/HIS.2008.177
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-10
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Social Modelling Databases Computational modeling Predictive models Data Mining Data mining Mathematical model Decision trees Equations Particle Swarm Optimization
Content Type	Text
Resource Type	Article

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Hybrid System to Determine the Ranking of a Returning Participant in Eurovision