Key Considerations to be Applied While Leveraging Machine Learning for Financial Statement Fraud Detection: A Review
D Lin - IEEE Access, 2024 - ieeexplore.ieee.org
Financial statement fraud (FSF) is a challenging issue in capital markets and severely affects
their overall health and stability. The effective prediction of FSF has become an urgent need …
their overall health and stability. The effective prediction of FSF has become an urgent need …
An Investigation of Machine Learning Applications in the Financial Fraud Detection
Y Han - Advances in Economics, Management and Political …, 2024 - ewadirect.com
Financial fraud presents itself in various forms, and it often involves intricate financial
transaction networks, making it challenging to detect the perpetrators and identify the …
transaction networks, making it challenging to detect the perpetrators and identify the …
The Best Machine Learning Model for Fraud Detection In Banking Sector: A Systematic Literature Review
Y Yanto, L Lisah - eCo-Buss, 2024 - jurnal.kdi.or.id
In today's financial landscape, banks face an increasing number of sophisticated fraud
attempts, driven by advancements in technology and the growing volume of digital …
attempts, driven by advancements in technology and the growing volume of digital …
A Deep Reinforcement Learning Framework for Detecting Fraudulent Bank Account Openings
A Qayoom, W Yadong, W Song… - Sir Syed University …, 2024 - sirsyeduniversity.edu.pk
Online banking has become more popular and widespread. A huge number of customers
open new bank accounts every day, which leads to a rise in fraudulent account openings …
open new bank accounts every day, which leads to a rise in fraudulent account openings …