Annually, money laundering activities threaten the global economy. Proceeds of these
activities may be used to fund further criminal activities and to undermine the integrity of …

We propose a fraud detection method based on the user accounts visualization and
threshold-type detection. The visualization technique employed in our approach is the Self …

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

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 …

Market participants and businesses have made tremendous efforts to make the best
decisions in a timely manner under varying economic and business circumstances. As such …

This paper presents an overview of fraud detection in securities market as well as a
comprehensive literature review of data mining methods that are used to address the issue …

Market manipulation remains the biggest concern of investors in today's securities market,
despite fast and strict responses from regulators and exchanges to market participants that …

This paper presents a novel approach, called MALDIVE, to support tax administrations in the
tax risk assessment for discovering tax evasion and tax avoidance. MALDIVE relies on a …

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 is a criminal practice for illegitimate gain of wealth or tampering information.
Fraudulent activities are of critical concern because of their severe impact on organizations …