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. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
alekmerTFM0118Memoria.pdf | Memoria del TFM | 1,73 MB | Adobe PDF | ![]() View/Open |
Share:


This item is licensed under a Creative Commons License