Results 231 to 240 of about 5,629 (259)
Some of the next articles are maybe not open access.

A Memory-Enhanced Framework for Financial Fraud Detection

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), 2018
The rapid development of electronic financial services brings significant convenience to our daily life. However, it also offers criminals the opportunity to exploit financial systems to do fraudulent transactions. Previous studies on fraud detection only deal with single type transactions and cannot adapt well to evolving environment in reality.
openaire   +1 more source

Towards Privacy Preserving Financial Fraud Detection

2023 International Conference on Machine Learning and Applications (ICMLA), 2023
Stephanie Abanilla   +2 more
openaire   +1 more source

Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances

Expert Systems With Applications, 2022
John Yawney   +2 more
exaly  

The Detection and Prediction of Financial Frauds

2022
Xinzhu Wang, Yiran Li, Chenxing Liu
openaire   +1 more source

Financial literacy and fraud detection——Evidence from China

International Review of Economics and Finance, 2021
Weixing Wu, Ming Peng
exaly  

Big Data Analytics for Financial Frauds Detection.

2014
Criminals and criminal organizations often make use of companies and other corporate entities to hide their identity, conceal illicit flows of money, launder funds, finance terrorist organizations, evade taxes, create and hide slash funds, commit bribery, corruption, accounting frauds and other financial crimes.
openaire   +2 more sources

Home - About - Disclaimer - Privacy