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Comparative Analysis of the Performance of Machine Learning Techniques Applied to Real and Synthetic Fraud-Oriented Datasets
Conference ObjectAbstract: One of the most critical resources today is information, an intangible asset that has become a vitalPalabras claves:AUC-ROC, Classification Methods, Fraud, Real and synthetic dataset, Topic modelingAutores:Luis Felipe Urquiza-Aguiar, Marco SánchezFuentes:scopusGeneration of a Synthetic Dataset for the Study of Fraud through Deep Learning Techniques
ArticleAbstract: Fraud is defined as any purposeful or deliberate act including cunning, deception, or other unfair mPalabras claves:deep learning, Fraud triangle theory, LSTM, Machine learning, rnnAutores:Carlos Narváez, Luis Felipe Urquiza-Aguiar, Marco Sánchez, Myriam Hernández, Verónica OlmedoFuentes:scopusSecurity enhancement through effective encrypted communication using ELK
Conference ObjectAbstract: Big Data has become an important and essential tool for data analysis and decision making due to itsPalabras claves:BIG DATA, Security Information, Threats, vulnerabilitiesAutores:Luis Felipe Urquiza-Aguiar, Marco SánchezFuentes:scopus