Results 91 to 100 of about 3,889 (172)
Do newspaper articles on card fraud affect debit card usage? [PDF]
This paper investigates the impact of newspaper publications about debit card skimming fraud on debit card usage in the Netherlands using daily information from January 1st 2005 to December 31st 2008. Time-series analyses are employed to assess the daily
Kosse, Anneke
core
Machine Learning Techniques for Credit Card Fraud Detection
The term “fraud”, it always concerned about credit card fraud in our minds. And after the significant increase in the transactions of credit card, the fraud of credit card increased extremely in last years.
Khalifa, Wael +3 more
core +1 more source
The subject matter of this article is enhancing credit card fraud detection systems by exploring the impact of oversampling rates and ensemble methods with diverse feature selection techniques.
Mohamed Akouhar +3 more
doaj +1 more source
A discrete choice approach to model credit card fraud
This paper analyses the demographic, socio-economics and banking specific determinants that influence the risk of fraud in a portfolio of credit cards. The data are from recent account archives for cards issued throughout Italy.
Paba, Antonello, Pulina, Manuela
core
Credit Card Fraud Detection: A Hybrid Approach
The advancement of technology and the widespread use of online transactions have had a tremendous influence on the financial system, resulting in an increase in credit card-related fraud. This research looks at the effectiveness of a Hybrid Deep Learning
Kolawole, Damilare Abel
core
Geo-location based credit card fraud detection
The use of credit card is prevalent, and will continuously increase. Although EMV (Europay, MasterCard, and Visa) chips is one such alternative to prevent credit card fraud, experts predict that credit card fraud will continue to rise in numbers ...
Lee, Boon Peng
core
Novel Machine Learning Based Credit Card Fraud Detection Systems
This research deals with the critical issue of credit card fraud, a problem that has escalated in the last decade due to the significant increase in credit card usage, largely driven by advances in international trade, e-commerce, and FinTech.
Xiaomei Feng, Song-Kyoo Kim
doaj +1 more source
A Hybrid Deep Learning Approach with Generative Adversarial Network for Credit Card Fraud Detection
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
doaj +1 more source
Fraud Detection in Credit Card System Using Web Mining [PDF]
: Now a day the usage of credit cards has dramatically increased. As credit card becomes the most popular mode of payment for both online as well as regular purchase, cases of fraud associated with it are also rising.
Nimesh Patel +3 more
core
Credit Card Fraud Detection: An Improved Strategy for High Recall Using KNN, LDA, and Linear Regression. [PDF]
Chung J, Lee K.
europepmc +1 more source

