|
Review of intelligent data mining methods To fight money laundering and establish data governance in the banking network
|
Hedayat Alimoradi dokoohi   , Erfaneh Noroozi |
| Islamic Azad University, Qeshm branch |
|
|
Abstract: (309 Views) |
| With the growth of electronic services in the financial field and the strength of non-present payment portals in the world, the methods of combating money laundering have also grown significantly, in such a way that today, with smart software, transaction tracking Cryptocurrencies are also possible. Comprehensive data governance is one of the ways to speed up the process of fighting money laundering in the banking network. In this article, some of the challenges of implementing data governance and data mining in the banking network in order to combat money laundering, as well as supervised machine learning methods, unsupervised machine learning and advanced machine learning artificial intelligence methods and the shortcomings of existing methods. And suggestions will be provided for researchers. As money laundering remains a common problem in today's global economy, governments around the world are implementing strict measures to prevent financial crimes. This issue has created a growing demand for anti-money laundering systems in various industries such as banking, stock exchange, insurance, financial services and capital market. |
Article number: 5 |
| Keywords: Anti-money laundering, data mining, data governance, banking transactions, machine learning |
|
|
Full-Text [PDF 684 kb]
(465 Downloads)
|
Type of Study: Applicable |
Subject:
Special
Received: 2023/07/30 | Accepted: 2025/02/7 | Published: 2025/02/8
|
|
|
|
|
|
|
| Send email to the article author |
|
|
|
| Add your comments about this article |
|
|
|
