SİGORTA SAHTECİLİĞİ ARAŞTIRMALARININ BİBLİYOMETRİK ANALİZİ: GENEL GÖRÜNÜM VE EĞİLİMLER
Abstract
Keywords
References
- Akbulut, H. (2023). Osmanlı’da sigorta sektörünün gelişimi ve yapısal problemleri. H. Meral (Ed.), 21. Yüzyılda Türk Sigorta Sektörüne 21 Tavsiye içinde (9-20 ss.) Ankara: Nobel Bilimsel Eserler.
- Al-Hashedi, K. G., ve Magalingam, P. (2021). Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019. Computer Science Review, 40, 100402. https://doi.org/10.1016/j.cosrev.2021.100402
- Aslam, F., Hunjra, A. I., Ftiti, Z., Louhichi, W., ve Shams, T. (2022). Insurance fraud detection: Evidence from artificial intelligence and machine learning. Research in International Business and Finance, 62, 101744. https://doi.org/10.1016/j.ribaf.2022.101744
- Baesens, B., Van Vlasselaer, V., ve Verbeke, W. (2015). Fraud analytics using descriptive, predictive, and social network techniques: a guide to data science for fraud detection. John Wiley & Sons. https://doi.org/10.1002/9781119146841
- Bar-Ilan, J. (2008). Informetrics at the beginning of the 21st century-A review. Journal of Informetrics, 2(1), 1-52. https://doi.org/10.1016/j.joi.2007.11.001
- Bhattacharyya, D. K., ve Kalita, J. K. (2013). Network anomaly detection: A machine learning perspective. Chapman and Hall/CRC. https://doi.org/10.1201/b15088
- Biju, A. K. V. N., Thomas, A. S., ve Thasneem, J. (2024). Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis. Quality & Quantity, 58(1), 849-878. https://doi.org/10.1007/s11135-023-01673-0
- Brockett, P. L., Derrig, R. A., Golden, L. L., Levine, A., ve Alpert, M. (2002). Fraud classification using principal component analysis of RIDITs. Journal of Risk and Insurance, 69(3), 341-371. https://doi.org/10.1111/1539- 6975.00027
Details
Primary Language
Turkish
Subjects
Finance
Journal Section
Research Article
Authors
Behlül Ersoy
*
0000-0003-2498-2988
Türkiye
Publication Date
January 24, 2025
Submission Date
August 24, 2024
Acceptance Date
September 15, 2024
Published in Issue
Year 2025 Volume: 26 Number: 1