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http://hdl.handle.net/10609/97546
Title: | Machine learning en ciberseguridad |
Author: | Fernández Khatiboun, Alejandro |
Tutor: | Hernández Jiménez, Enric |
Abstract: | This paper explores the analysis and evaluation of machine learning algorithms that are able to recognize fraudulent credit card transactions. A study will be conducted about the different machine learning algorithms to determine the fraudulent transactions. Similarly, the results of the different algorithms will be compared to obtain a conclusion. To realice the study, a Credit Card Fraud dataset is used. This dataset contains 284,807 different transactions realized along two days. 492 of these transactions are fraudulent. |
Keywords: | computer security machine learning fraud detection |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 4-Jun-2019 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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afernandezkhTFM0619memoria.pdf | Memoria del TFM | 3,04 MB | Adobe PDF | View/Open |
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