The great losses caused by financial fraud have attracted continuous attention from
academia, industry, and regulatory agencies. More concerning, the ongoing coronavirus …

Rare events, especially those that could potentially negatively impact society, often require
humans' decision-making responses. Detecting rare events can be viewed as a prediction …

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 card fraud is a serious problem in financial services. Billions of dollars are lost due to
credit card fraud every year. There is a lack of research studies on analyzing real-world …

Financial fraud is an issue with far reaching consequences in the finance industry,
government, corporate sectors, and for ordinary consumers. Increasing dependence on new …

Anomaly detection is an important data analysis task. It is used to identify interesting and
emerging patterns, trends and anomalies from data. Anomaly detection is an important tool …

Credit card transaction fraud costs billions of dollars to card issuers every year. A well-
developed fraud detection system with a state-of-the-art fraud detection model is regarded …

Every year billions of Euros are lost worldwide due to credit card fraud. Thus, forcing
financial institutions to continuously improve their fraud detection systems. In recent years …

In this paper, we address the problems of fraud and anomalies in the Bitcoin network. These
are common problems in e-banking and online transactions. However, as the financial …

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 …