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Consumer credit evaluation model for free trade ports by a sparse attention transformer and graph neural network. [PDF]

Sci Rep
Wu M, Sabri MF, Meng C, Wang S.
europepmc   +1 more source

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Digital twin for credit card fraud detection: opportunities, challenges, and fraud detection advancements

Future Generation Computer Systems
Pushpita Chatterjee, Debashis Das, Danda B. Rawat   +2 more
semanticscholar   +3 more sources

Credit card fraud detection based on federated graph learning

Expert Systems With Applications
Yuncan Tang, Yongquan Liang
semanticscholar   +3 more sources

Credit Card Fraud

2017
This chapter provides a single person case study of Mr. Dan DeFilippi who was arrested for credit card fraud by the US Secret Service in December 2004. The chapter delves into the psychology of a cybercriminal and the inner workings of credit card fraud. A background context of credit card fraud is presented to frame the primary interview. A section on
DeFilippi, Dan, Michael, Katina
openaire   +2 more sources

FraudX AI: An Interpretable Machine Learning Framework for Credit Card Fraud Detection on Imbalanced Datasets

De Computis
Credit card fraud detection is a critical research area due to the significant financial losses and security risks associated with fraudulent activities.
Nazerke Baisholan, J. E. Dietz, S. Gnatyuk, M. Turdalyuly, Eric T. Matson, Karlygash Baisholanova   +5 more
semanticscholar   +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