A review of money laundering literature: the state of research in key areas | Emerald Insight
Books and journals Case studies Expert Briefings Open Access Publish with us Advanced …

Financial regulation is the basic requirement for financial stability. Recently, regulatory
technology (Reg-Tech) has become one of the main research topics in financial stability …

This study proposes a framework for fraud detection in the auto insurance industry by using
predictive models. The feature selection is performed utilizing a publicly available car …

Advanced fraud detection systems leverage the digital traces from (credit-card) transactions
to detect fraudulent activity in future transactions. Recent research in fraud detection has …

Classification and regression trees, as well as their variants, are off-the-shelf methods in
Machine Learning. In this paper, we review recent contributions within the Continuous …

Financial institutions increasingly rely upon data-driven methods for developing fraud
detection systems, which are able to automatically detect and block fraudulent transactions …

Credit scoring is without a doubt one of the oldest applications of analytics. In recent years, a
multitude of sophisticated classification techniques have been developed to improve the …

Fraud exists in all walks of life and detecting and preventing fraud represents an important
research question relevant to many stakeholders in society. With the rise in big data and …

Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using
Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for …

The paper contributes to a growing body of empirical work on regulatory technology by
proposing machine learning models to detect fraud in financial markets. The recent spate of …