Fraud detection in financial statements using data mining and GAN models

Author:

Aftabi Seyyede Zahra,Ahmadi Ali,Farzi Saeed

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference62 articles.

1. ACFE. (2022). Occupational Fraud 2022: A Report to the nations. In Acfe.

2. Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019;Al-Hashedi;Computer Science Review,2021

3. Intelligent fraud detection in financial statements using machine learning and data mining: A systematic literature review;Ashtiani;IEEE Access,2021

4. Credit card fraud detection using pipeling and ensemble learning;Bagga;Procedia Computer Science,2020

5. Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992). A training algorithm for optimal margin classifiers. Proceedings of the Fifth Annual Workshop on Computational Learning Theory - COLT ’92, 144–152. 10.1145/130385.130401.

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1. Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning;ACM Transactions on Intelligent Systems and Technology;2024-01-23

2. Feature Selection Based Ensemble Support Vector Machine for Financial Fraud Detection in IoT;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

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