Intelligent Fraud Detection in Financial Statements Using Machine Learning and Data Mining: A Systematic Literature Review

Intelligent Fraud Detection in Financial Statements Using Machine Learning and Data Mining: A Systematic Literature Review

Fraudulent financial statements (FFS) are the results of manipulating financial elements by overvaluing incomes, assets, sales, and profits while underrating expenses, debts, or losses. To identify such fraudulent statements, traditional methods, including manual auditing and inspections, are costly...

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Bibliographic Details
Main Authors: Matin N. Ashtiani, Bijan Raahemi
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Fraud detection
financial statement
machine learning
data mining
outlier detection
systematic literature review
Online Access:https://ieeexplore.ieee.org/document/9481913/

Internet

https://ieeexplore.ieee.org/document/9481913/

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