Author:
Abouloifa Houria,Bahaj Mohamed
Publisher
Springer Nature Switzerland
Reference15 articles.
1. Kraus, C., Valverde, R.: A data warehouse design for the detection of fraud in the supply chain by using the Benford’s law. Am. J. Appl. Sci. 11(9), 1507–1518 (2014). https://doi.org/10.3844/ajassp.2014.1507.1518
2. Patterson, J.L., Goodwin, K.N., McGarry, J.L.: Understanding and mitigating supply chain fraud. J. Market. Dev. Compet. 12(1) (2018). https://doi.org/10.33423/jmdc.v12i1.1411
3. Varma, T.N., Khan, D.A.: Fraud detection in supply chain using Benford distribution. Int. J. Res. Manag. 5(2) (2012). https://ssrn.com/abstract=3150290
4. Pourhabibi, T., Ong, K.L., Kam, B.H., Boo, Y.L.: Fraud detection: a systematic literature review of graph-based anomaly detection approaches. Decis. Support Syst. 133, 113303 (2020). https://doi.org/10.1016/j.dss.2020.113303, ISSN: 0167-9236
5. DataCo smart supply chain for big data analysis. https://www.kaggle.com/datasets/shashwatwork/dataco-smart-supply-chain-for-big-data-analysis
Cited by
2 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