Intelligent fraud detection in financial statements using machine learning and data mining: a systematic literature review

MN Ashtiani, B Raahemi - Ieee Access, 2021 - ieeexplore.ieee.org
Fraudulent financial statements (FFS) are the results of manipulating financial elements by
overvaluing incomes, assets, sales, and profits while underrating expenses, debts, or losses …

An analysis on financial statement fraud detection for Chinese listed companies using deep learning

W **uguo, D Shengyong - Ieee Access, 2022 - ieeexplore.ieee.org
Financial fraud has extremely damaged the sustainable growth of financial markets as a
serious problem worldwide. Nevertheless, it is fairly challenging to identify frauds with highly …

Artificial intelligence techniques to detect and prevent corruption in procurement: a systematic literature review

Y Torres Berru, VF López Batista… - … Conference, ICAT 2019 …, 2020 - Springer
Transparency International estimates that the costs of corruption in public procurement
reach between 20 and 25% of the contract value, sometimes reaching 40–50%. In this study …

The international fraud triangle

A Cheliatsidou, N Sariannidis, A Garefalakis… - Journal of Money …, 2023 - emerald.com
Purpose Fraud omnipresent in the media, the corporate world and the academic literature
has attracted a great deal of research interest. Fraud and its various types and forms have …

Financial Ratios and Efficient Classification Algorithms for Fraud Risk Detection in Financial Statements.

Z Nemati, A Mohammadi, A Bayat… - International Journal of …, 2024 - search.ebscohost.com
This study aims to identify the best financial ratios and the most efficient method for fraud risk
detection in the financial statements of the listed companies by considering the financial …

Fraud Prediction in Financial Statements through Comparative Analysis of Data Mining Methods

Z Nemati, A Mohammadi, A Bayat, A Mirzaei - International Journal of …, 2025 - ijfma.ir
Fraud increases business risks and costs, creates investor distrust, and questions the
professional competence and credibility of accounting. Hence, this study aims to employ …

Unsupervised learning for financial statement fraud detection using manta ray foraging based convolutional neural network

AK Singh Yadav, M Sora - Concurrency and Computation …, 2022 - Wiley Online Library
Financial statement fraud detection is a significant topic and a challenging task related to
countless applications such as financial sectors, insurance, government agencies, law …

A framework for identifying the falsified financial statements using network textual analysis: a general model and the Greek example

D Kydros, M Pazarskis, A Karakitsiou - Annals of Operations Research, 2022 - Springer
This study aims at introducing a social network analysiss based methodology able to predict
the financial fraud of companies. For this purpose, data obtained from financial statements …

[HTML][HTML] Preventing the unpleasant: fraudulent financial statement detection using financial ratios

M Pazarskis, G Lazos, AG Koutoupis - Journal of Operational Risk, 2022 - risk.net
The aim of this study is to investigate financial fraud in companies listed on the Athens Stock
Exchange during the period 2008–18, in which a major economic crisis took place in …

Clustering and Classification Analysis in Financial Reporting of Philippine Government Business Enterprises

KJA Bergantiños, MJC Samonte - 2023 IEEE 15th International …, 2023 - ieeexplore.ieee.org
The use of machine learning to detect unusual or anomalous financial reporting in
government financial statements is generally overlooked in the literature despite the …