Money laundering has been a global issue for decades, which is one of the major threat for
economy and society. Government, regulatory and financial institutions are combating it …

The study aims to systematically review the role of big data visualization in the auditing field.
Employing a qualitative approach, the research utilized the Systematic Literature Review …

This study aims to analyze consumer purchasing patterns for motorcycle parts using data
mining methods and FP-Growth algorithms on motorcycle parts sales transaction data. This …

Higher regulatory compliance requirements, fast and continuous changes in regulations and
high digital dynamics in the financial markets are powering RegTech (regulatory …

This paper aims to build a machine learning and a neural network model to detect the
probability of money laundering in banks. The paper's data came from a simulation of actual …

With the rapid development of information technology, the scale, scope and depth of
database applications continue to expand, resulting in the phenomenon of" rich data and …

Protecting financial consumers from investment fraud has been a recurring problem in
Canada. The purpose of this paper is to predict the demographic characteristics of investors …

Generating value from big data is a task that requires models' preparation and use of
advanced technologies but which, above all, is based on the ability to extract, manage and …

Recently, financial institutes have been dealing with an increase in financial crimes. In this
context, financial services firms started to improve their vigilance and use new technologies …

The aim of this study is to present the trends and effectiveness of money laundering
countermeasures from the perspective of a number of suspicious transactions reported to …