HIGHLIGHTS
- who: N. Alsadhan from the King Saud University, Riyadh, Saudi Arabia have published the Article: A Multi-Module Machine Learning Approach to Detect Tax Fraud, in the Journal: (JOURNAL)
- what: The work done in this paper focuses on addressing such limitations by proposing a fraud detection framework that utilizes supervised and unsupervised models to exploit the entire set of tax returns. The authors demonstrate the effectiveness of the framework by testing it on existent tax returns provided by the Saudi tax authority. The aim of these strategies is to minimize the false positives, which are . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.