Author:
Bodaghi Arezo,Teimourpour Babak
Publisher
Springer International Publishing
Reference11 articles.
1. White Paper. (2011). The insurance fraud race: Using information and analytics to stay ahead of criminals. Featuring as an example: SAS® Fraud Framework for Insurance.
2. Nian, K., Zhang, H., Tayal, A., Coleman, T., & Li, Y. (2016). Auto insurance fraud detection using unsupervised spectral ranking for anomaly. The Journal of Finance and Data Science, 2(1), 58–75.
3. Brockett, P. L., & Levine, A. (1977). Characterization of RIDITs. Annals of Statistics, 5(6), 1245–1248.
4. Šubelj, L., Furlan, Š., & Bajec, M. (2011). An expert system for detecting automobile insurance fraud using social network analysis. Expert Systems with Applications, 38(1), 1039–1052. https://doi.org/10.1016/j.eswa.2010.07.143 .
5. Zhou, J., Xu, W., Guo, X., & Ding, J. (2015). A method for modeling and analysis of directed weighted accident causation network (DWACN). Physica A: Statistical Mechanics and Its Applications, 437, 263–277.
Cited by
11 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献