Banking as a data intensive subject has been progressing continuously under the promoting
influences of the era of big data. Exploring the advanced big data analytic tools like Data …

Detecting frauds in credit card transactions is perhaps one of the best testbeds for
computational intelligence algorithms. In fact, this problem involves a number of relevant …

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 …

Abstract Explainable Artificial Intelligence (XAI) develops technical explanation methods and
enable interpretability for human stakeholders on why Artificial Intelligence (AI) and machine …

The significant growth of online banking frauds, fueled by the underground economy of
malware, raised the need for effective fraud analysis systems. Unfortunately, almost all of the …

Financial institutions are interested in ensuring security and quality for their customers.
Banks, for instance, need to identify and stop harmful transactions in a timely manner. In …

Purpose This paper aims to provide information of parameters and techniques used in the
automated fraud detection system during online transaction. With the increase in the use of …

The detection of anomalous events in huge amounts of data is sought in many domains. For
instance, in the context of financial data, the detection of suspicious events is a prerequisite …

Fraud detection has attracted significant attention in financial institutions, especially utilizing
some artificial intelligent methods to automatically detect fraudulent transactions. With the …

The significant growth of banking fraud, fueled by the underground economy of malware,
has raised the need for effective detection systems. Therefore, in the last few years, banks …