Uncovering Financial Statement Fraud: A Machine Learning Approach With Key Financial Indicators and Real-World Applications

Uncovering Financial Statement Fraud: A Machine Learning Approach With Key Financial Indicators and Real-World Applications

Financial statement fraud is a serious threat to the stability of the financial market. Therefore, effective detection methods are crucial to prevent significant losses to investors and damage to companies’ reputations. This study aims to explore the performance of different machine learn...

Full description

Saved in:
Bibliographic Details
Main Authors: Bixuan Li, Jerome Yen, Sheng Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Financial statement fraud
machine learning
fraud detection
feature selection
Online Access:https://ieeexplore.ieee.org/document/10807282/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10807282/

Similar Items