An Efficient Resampling Technique for Financial Statements Fraud Detection: A Comparative Study

• Published in: 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) pp. 1 - 7
• Main Authors: Ashtiani, Matin N., Raahemi, Bijan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 19.07.2023
• Subjects: Benchmark testing; Data models; Feature extraction; Financial Ratios; Financial Statement; Fraud; Fraud Detection; Neural Networks; Resampling Techniques; Soft sensors; Support vector machines; Synthetic Minority Oversampling Technique (SMOTE); Transformers

Financial statement fraud detection is the process of identifying falsified financial statements. Traditional auditing methods are time-consuming, expensive, and subject to error. Therefore, adopting an efficient and robust machine learning mechanism is important. Unfortunately, the current data sou...