Credit risk is the risk of financial loss when a borrower fails to meet the financial commitment.
While there are many factors that constitute credit risk, due diligence while giving loan (credit …

Purpose Banking industry peculiarly has become soft target for several pernicious deceptive
and fraudulent activities. The purpose of this paper is to systematically review the literature …

The core goal of this paper is to identify guidance on how the research community can better
transition their research into payment card fraud detection towards a transformation away …

The fraud detection system in banking organisation relies on data-driven approach to
identify the fraudulent transactions. In real time, detection of each and every fraudulent …

As a type of credit card fraud behavior, fraudulent cash-out causes banks and companies to
incur huge losses. Furthermore, such organizations lack effective methods to detect …

In this paper, we focus on designing an online credit card fraud detection framework with big
data technologies, by which we want to achieve three major goals: 1) the ability to fuse …

The effectiveness of transaction fraud detection methods directly affects the loss of users in
online transactions. However, for low-frequency users with small transaction volume, the …

Financial industries are undergoing a digital transformation of their products, services,
overall business models. Part of this digitalization in banking aims at automating most of the …

Nowadays, judging the current transaction based on user history transactions is an
important detection method. However, different users have different transaction behaviors …

Purpose The best algorithm that was implemented on this Brazilian dataset was artificial
immune system (AIS) algorithm. But the time and cost of this algorithm are high. Using …