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Financial Statement Fraud Detection with Fraud Triangle

International Journal of Emerging Trends in Social Sciences, 2022
The purpose of this study was to analyze elements in the fraud triangle to clarify the possibility of financial statement fraud in the consumer goods industry subsector. The population in this study is all manufacturing companies in the consumer goods industry sub-sector measured by the M-score model.
Meel Akbar, Basyiruddin Nur, Budi Andru
openaire   +1 more source

A Memory-Enhanced Framework for Financial Fraud Detection

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), 2018
The rapid development of electronic financial services brings significant convenience to our daily life. However, it also offers criminals the opportunity to exploit financial systems to do fraudulent transactions. Previous studies on fraud detection only deal with single type transactions and cannot adapt well to evolving environment in reality.
openaire   +2 more sources

Navigating Financial Toxicity in Patients With Cancer: A Multidisciplinary Management Approach

Ca-A Cancer Journal for Clinicians, 2022
Maria Pisu, Grace L Smith, Rena Conti
exaly  

Time to Add Screening for Financial Hardship as a Quality Measure?

Ca-A Cancer Journal for Clinicians, 2021
Ya-Chen Tina Shih   +2 more
exaly  

Towards Privacy Preserving Financial Fraud Detection

2023 International Conference on Machine Learning and Applications (ICMLA), 2023
Stephanie Abanilla   +2 more
openaire   +1 more source

Financial Fraud Detection Applying Data Mining Techniques: A Comprehensive Review From 2009 to 2019

Computer Science Review, 2021
Pritheega Magalingam   +1 more
exaly  

Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances

Expert Systems With Applications, 2022
John Yawney   +2 more
exaly  

The Detection and Prediction of Financial Frauds

2022
Xinzhu Wang, Yiran Li, Chenxing Liu
openaire   +1 more source

Financial Literacy and Fraud Detection——Evidence From China

International Review of Economics and Finance, 2021
Weixing Wu, Ming Peng
exaly  

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