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http://hdl.handle.net/10609/97009
Title: Técnicas de machine learning aplicadas a la seguridad
Author: Cuenca Guachamin, Walter Rene
Director: Hernández Jiménez, Enric
Tutor: García Font, Víctor
Keywords: machine learning
data analysis
information security
Issue Date: Jun-2019
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: The problem of misinformation is a problem that has always existed but has increased due to technological growth and the emergence of various ways of communicating information on the Internet, for example, blogs or social networks. Paying attention to social networks this has led to the appearance of bots with the aim of spreading misinformation with a certain objective. With this in mind, the project focuses on performing an analysis that allows generating a Machine Learning model capable of detecting fake content or bots in social networks. Therefore, it has been selected as a methodology CRISP-DM due to its great use in this type of projects.
Language: Spanish
URI: http://hdl.handle.net/10609/97009
Appears in Collections:Bachelor thesis, research projects, etc.

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