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A computational model for financial reporting fraud detection
Decision Support Systems, 2011A computational fraud detection model (CFDM) was proposed for detecting fraud in financial reporting. CFDM uses a quantitative approach on textual data. It incorporates techniques that use essentially all of information contained in the textual data for fraud detection.
Fletcher H. Glancy, Surya B. Yadav
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Comparing ML Algorithms on Financial Fraud Detection
Proceedings of the 2019 2nd International Conference on Data Science and Information Technology, 2019The problem of Financial Fraud has reached an alarming scale nowadays. Losses due to the fraud are reaching billions of dollars every year. To reduce it, decision systems that use efficient fraud detection algorithms should be invented. With the support of modern technologies, these systems are able to manage to analyze the information and to create a ...
Chung Min Tae, Phan Duy Hung
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Financial Inclusion, Financial Crime, and Fraud Detection
The objective of this chapter is to discuss the role of financial inclusion in combating financial crime. It was found that financial crime is a challenge in society. Financial crime is any action or omission that leads to unlawful or illegal financial dealings. Many countries are seeking ways to combat financial crime.openaire +1 more source
A Memory-Enhanced Framework for Financial Fraud Detection
2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), 2018The 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.
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Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019
Computer Science Review, 2021Pritheega Magalingam
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Towards Privacy Preserving Financial Fraud Detection
2023 International Conference on Machine Learning and Applications (ICMLA), 2023Stephanie Abanilla +2 more
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Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances
Expert Systems With Applications, 2022John Yawney +2 more
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The Detection and Prediction of Financial Frauds
2022Xinzhu Wang, Yiran Li, Chenxing Liu
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Financial literacy and fraud detection——Evidence from China
International Review of Economics and Finance, 2021Weixing Wu, Ming Peng
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Detection Fraud of Financial Statement with Fraud Triangle
2013Manurung, Daniel T H, Hadian, Niki
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