Zobrazeno 1 - 10
of 5 127
pro vyhledávání: '"Fraud - Detection"'
Autor:
Kassem, Rasha, Omoteso, Kamil
Publikováno v:
Journal of Accounting Literature, 2023, Vol. 46, Issue 4, pp. 587-610.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JAL-03-2023-0055
Autor:
Mandal, Abinash, S., Amilan
Publikováno v:
Journal of Financial Crime, 2023, Vol. 31, Issue 5, pp. 1106-1125.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JFC-06-2023-0153
Publikováno v:
Journal of Safety Science and Resilience, Vol 5, Iss 4, Pp 486-497 (2024)
Dynamic graph fraud detection aims to distinguish fraudulent entities that deviate significantly from most benign entities within an ever-changing graph network. However, when dealing with different financial fraud scenarios, existing methods face ch
Externí odkaz:
https://doaj.org/article/930e1e7868d3415bb97ce31771dcf873
Autor:
Putthiporn Thanathamathee, Siriporn Sawangarreerak, Siripinyo Chantamunee, Dinna Nina Mohd Nizam
Publikováno v:
Emerging Science Journal, Vol 8, Iss 6, Pp 2404-2430 (2024)
This research aims to enhance financial fraud detection by integrating SHAP-Instance Weighting and Anchor Explainable AI with XGBoost, addressing challenges of class imbalance and model interpretability. The study extends SHAP values beyond feature i
Externí odkaz:
https://doaj.org/article/8679d7980c3d4f8f8cec5089612e9484
Autor:
Vorobyev, Ivan A.
Publikováno v:
Известия Саратовского университета. Новая серия. Серия Математика. Механика. Информатика, Vol 24, Iss 4, Pp 619-628 (2024)
The car insurance fraud level assessment is an urgent and complex task, which is largely due to the activities of fraudulent groups. For the confident management of insurance companies in the anti-fraud strategy, a tool to assess the current state of
Externí odkaz:
https://doaj.org/article/c01535b20e3b43e8a1064127fc0b140c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Visible imaging is a fast, cheap, and accurate technique in the assessment of food quality and safety. The technique was used in the present research to detect sea foam adulterant levels in black and red peppers. The fraud levels included 0,
Externí odkaz:
https://doaj.org/article/3cd41731e95942d1996d7e96b1d0e04a
Publikováno v:
Alexandria Engineering Journal, Vol 104, Iss , Pp 171-192 (2024)
Fraud detection in banking systems is crucial for financial stability, customer protection, reputation management, and regulatory compliance. Machine Learning (ML) is vital in improving data analysis, real-time fraud detection, and developing fraud t
Externí odkaz:
https://doaj.org/article/aaa78269fdc941e3923c5dab5ee9057b
Publikováno v:
International Journal of Industrial Engineering and Production Research, Vol 35, Iss 3, Pp 1-10 (2024)
This study examines the role of forensic accounting in enhancing financial transparency and reducing fraud in Jordanian institutions. Using a mixed-method approach, data were collected from 150 respondents including chartered accountants, auditors, f
Externí odkaz:
https://doaj.org/article/17cda7db4ca94fb7a93b990561a60d3b
Publikováno v:
Jurnal Akuntansi, Vol 28, Iss 3, Pp 479-497 (2024)
The high number of corruption cases in local governments in Indonesia demands increased government attention to fraud cases. Opportunity for fraud can start from the planning stage to follow-up so that appropriate preventive and repressive handling e
Externí odkaz:
https://doaj.org/article/a65e83eed5c240c5a7e9734a63f8cbd7
Autor:
Hassen Louati, Ali Louati, Abdulla Almekhlafi, Maha ElSaka, Meshal Alharbi, Elham Kariri, Youssef N. Altherwy
Publikováno v:
Journal of Theoretical and Applied Electronic Commerce Research, Vol 19, Iss 3, Pp 2139-2156 (2024)
As blockchain technology increasingly underpins digital transactions, smart contracts have emerged as a pivotal tool for automating these transactions. While smart contracts offer efficiency and security, their automation introduces significant legal
Externí odkaz:
https://doaj.org/article/3dede05dab3145f2a59ea457a55178f4