59   Artículos

 
en línea
Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor and John Adejoh    
In the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. This paper delves into the application of machine learning models, specifically focusing on ensemble met... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Audrone Janaviciute, Agnius Liutkevicius, Gedas Dabu?inskas and Nerijus Morkevicius    
Online shopping has become a common and popular form of shopping, so online attackers try to extract money from customers by creating online shops whose purpose is to compel the buyer to disclose credit card details or to pay money for goods that are nev... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Rodney Boehme, Timothy Craft, Richard LeCompte     Pág. 01 - 12
Revista: International Journal of Finance & Banking Studies    Formato: Electrónico

 
en línea
Ibomoiye Domor Mienye and Yanxia Sun    
With the rapid developments in electronic commerce and digital payment technologies, credit card transactions have increased significantly. Machine learning (ML) has been vital in analyzing customer data to detect and prevent fraud. However, the presence... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Emilija Strelcenia and Simant Prakoonwit    
In many industrialized and developing nations, credit cards are one of the most widely used methods of payment for online transactions. Credit card invention has streamlined, facilitated, and enhanced internet transactions. It has, however, also given cr... ver más
Revista: AI    Formato: Electrónico

 
en línea
Dominik Molitor, Wullianallur Raghupathi, Aditya Saharia and Viju Raghupathi    
While data breaches are a frequent and universal phenomenon, the characteristics and dimensions of data breaches are unexplored. In this novel exploratory research, we apply machine learning (ML) and text analytics to a comprehensive collection of data b... ver más
Revista: Information    Formato: Electrónico

 
en línea
Bradley Walters, Sandra Ortega-Martorell, Ivan Olier and Paulo J. G. Lisboa    
A lack of transparency in machine learning models can limit their application. We show that analysis of variance (ANOVA) methods extract interpretable predictive models from them. This is possible because ANOVA decompositions represent multivariate funct... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Rui Miguel Dantas, Raheela Firdaus, Farrokh Jaleel, Pedro Neves Mata, Mário Nuno Mata and Gang Li    
A wide range of recent studies are focusing on current issues of financial fraud, especially concerning cybercrimes. The reason behind this is even with improved security, a great amount of money loss occurs every year due to credit card fraud. In recent... ver más

 
en línea
Kübranur ÇEBI KARAASLAN, Hasan Hüseyin Tekmanli     Pág. 191 - 204

 
en línea
Morero Motseki, Mofokeng Jacob Tseko     Pág. 205 - 212

« Anterior     Página: 1 de 4     Siguiente »