With the rise of technology and the continued economic growth evident in modern society,
acts of fraud have become much more prevalent in the financial industry, costing institutions …

Credit card fraud is becoming a serious and growing problem as a result of the emergence
of innovative technologies and communication methods, such as contactless payment. In …

The credit risk prediction technique is an indispensable financial tool for measuring the
default probability of credit applicants. With the rapid development of machine learning and …

Credit card fraud detection is a challenging task since fraudulent actions are hidden in
massive legitimate behaviors. This work aims to learn a new representation for each …

Online sales and purchases are increasing daily, and they generally involve credit card
transactions. This not only provides convenience to the end-user but also increases the …

The high volume of money involved in e-commerce transactions draws the attention of
fraudsters, which makes fraud prevention and detection techniques of high importance …

This paper describes the foundations of interpretable data science for decision making and
serves as an editorial to the corresponding special issue. Interpretable data science …

Payment cards offer a simple and convenient method for making purchases. Owing to the
increase in the usage of payment cards, especially in online purchases, fraud cases are on …

E-commerce platforms are a primary place for people to find, compare, and ultimately
purchase products. They employ Machine Learning (ML), Business Intelligence (BI) …

In recent years, detecting fraud transactions has become a popular research topic because
credit card fraud transactions result in the loss of billions of dollars every year. Therefore, the …