Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/72705
Title: Sistema Big Data para la predicción de conflictos sociales: análisis y aplicación web
Author: Mejías Ríos, Alejandro
Tutor: Amorós Alcaraz, David
Others: Universitat Oberta de Catalunya
Abstract: The actual availability of huge public digital information, cheap storage and information management tools with reduced timing processing by Big Data technologies, it has opened new possibilities about it use as a predictive tools for social behaviors. In financials a tool to predict changes on regulatory laws caused by social riots would be useful to avoid losses in investments. This project proposes a predictive analitic webapp that processes the information offered by digital newsletter media. It is an easy to use, practical and useful tool; also it is cheap and easy to install on a low cost infraestructure.
Keywords: predictive analysis
big data
social sciences
geopolitical conflict
Document type: info:eu-repo/semantics/masterThesis
Issue Date: Jan-2018
Publication license: http://creativecommons.org/licenses/by-nd/3.0/es/  
Appears in Collections:Bachelor thesis, research projects, etc.

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