Financial fraud is an ever growing menace with far consequences in the financial industry.
Data mining had played an imperative role in the detection of credit card fraud in online …

Credit risk has been a widespread and deep penetrating problem for centuries, but not until
various credit derivatives and products were developed and novel technologies began …

Credit card fraud detection is an essential part of screening fraudulent transactions in
advance of their authorization by card issuers. Although credit card frauds occur extremely …

Today illegal activities regarding online financial transactions have become increasingly
complex and borderless, resulting in huge financial losses for both sides, customers and …

Frauds and default payments are two major anomalies in credit card transactions.
Researchers have been vigorously finding solutions to tackle them and one of the solutions …

The state-of-the-art Credit Card Fraud Detection (CCFD) systems utilize supervised rule-
based schemes to identify fraudulent behaviors in static data. Designing an efficient …

In recent years, credit card transaction fraud has resulted in massive losses for both
consumers and banks. Subsequently, both cardholders and banks need a strong fraud …

Abstract Phishing, vishing, spamming, ransomware, cybersquatting, and other forms of
financial frauds have been committed on credulous people for years now. With this …

Credit card fraud is a growing concern, and it poses a significant threat as individual
information is being misused and causing a substantial monetary loss. Hence, the …

Most of the real-world classification problems exhibit an amount of imbalance of class. With
such data sets, an algorithm doesn't get the required information about the minority class to …