18   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
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
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
Morero Motseki, Mofokeng Jacob Tseko     Pág. 205 - 212

 
en línea
Ameer Saleh Hussein,Rihab Salah Khairy,Shaima Miqdad Mohamed Najeeb,Haider Th.Salim Alrikabi     Pág. pp. 24 - 42
The global online communication channel made possible with the internet has increased credit card fraud leading to huge loss of monetary fund in their billions annually for consumers and financial institutions. The fraudsters constantly devise new strate... ver más

 
en línea
Omar Alghushairy, Raed Alsini, Terence Soule and Xiaogang Ma    
Outlier detection is a statistical procedure that aims to find suspicious events or items that are different from the normal form of a dataset. It has drawn considerable interest in the field of data mining and machine learning. Outlier detection is impo... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Imane Sadgali,Naoual Sael,Faouzia Benabbou     Pág. pp. 54 - 65
While the flow of banking transactions is increasing, the risk of credit card fraud is becoming greater particularly with the technological revolution that we know, fraudulent are improve and always find new methods to deal with the preventive measures t... ver más

 
en línea
Bushra Mohamed Elamin Elnaim    
The following research paper is focusing on the research of online retailing adoption while challenges that are being faced in the area of system and network security. The research explores the major issues that put noticeable influence on the decision o... ver más

 
en línea
Lacramioara Balan,Mihai Popescu     Pág. 81 - 85
Revista: USV Annals of Economics and Public Administration    Formato: Electrónico

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