Results 241 to 250 of about 1,287,610 (291)

Fraud Feature Boosting Mechanism and Spiral Oversampling Balancing Technique for Credit Card Fraud Detection

IEEE Transactions on Computational Social Systems
With the flourishing of the credit card business and Internet technology, the risk of fraudulent credit card transactions is ever-increasing due to the complex information involved in the credit card business.
Lina Ni, Jufeng Li, Huixin Xu, Xiangbo Wang, Jinquan Zhang   +4 more
semanticscholar   +1 more source

A Hybrid Deep Learning Approach with Generative Adversarial Network for Credit Card Fraud Detection

Technologies
Credit card fraud detection is a critical challenge in the financial industry, with substantial economic implications. Conventional machine learning (ML) techniques often fail to adapt to evolving fraud patterns and underperform with imbalanced datasets.
Ibomoiye Domor Mienye, Theo G. Swart
semanticscholar   +1 more source

Counterfeit Credit Cards —

Cornell Hotel and Restaurant Administration Quarterly, 1995
Credit-card losses from criminal activity in 1992 amounted to approximately US$1.3 billion. Over 60 percent of that loss was through the use of counterfeit credit cards and about 70 percent of the information used in credit-card fraud was illegally obtained by criminals from hotel employees.
J. S. Perry Hobson, Marilyn Ko
openaire   +1 more source

CREDIT CARD FRAUD [PDF]

The Annals of the "Stefan cel Mare" University of Suceava. Fascicle of The Faculty of Economics and Public Administration, 2011
Credit card fraud is the misuse of a credit card to make purchases without authorization or counterfeiting a credit card. Credit cards are the most often used electronic payment instrument. Types of credit card fraud are: online credit card fraud, advance payments, stolen card numbers, shave and paste, de-emboss/re-emboss etc.
Lacramioara BALAN, Mihai POPESCU
openaire  

Toward interpretable credit scoring: integrating explainable artificial intelligence with deep learning for credit card default prediction

Neural computing & applications (Print), 2023
Fatma M. Talaat, Abdussalam Aljadani, Mahmoud Badawy, Mostafa A. Elhosseini   +3 more
semanticscholar   +1 more source

Credit Cards

1995
James L. Schaub, Ken D. Biery
openaire   +2 more sources

Moral Credit Cards

Abstract Finally, in a concluding seventh chapter, we shift our gaze even further downwards, taking as our object the identity documents self-produced by social actors in their various collective engagements—be they neo-traditionalist hunters turned rebels and vigilantes, toxic waste victims, hometown associations members or subaltern ...
Richard Banégas, Armando Cutolo
openaire   +1 more source

Credit card fraud detection using ensemble data mining methods

Multimedia tools and applications, 2023
Saeid Bakhtiari, Zahra Nasiri, J. Vahidi
semanticscholar   +1 more source

CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database

Nucleic Acids Research, 2023
, Emma J Griffiths, Eric D Brown
exaly  

A systematic review of AI-enhanced techniques in credit card fraud detection

Journal of Big Data
Ibrahim Y. Hafez, Ahmed Y. Hafez, Ahmed Saleh, A. A. El-Mageed, A. Abohany   +4 more
semanticscholar   +1 more source