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Springer International Publishing
Reference15 articles.
1. Campos, G.O., et al.: On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Min. Knowl. Disc. 30(4), 891–927 (2016). https://doi.org/10.1007/s10618-015-0444-8
2. Lecture Notes in Computer Science;Y Feng,2019
3. Anandakrishnan, A., Kumar, S., Statnikov, A., et al.: Anomaly detection in finance: editors’ introduction. In: KDD 2017 Workshop on Anomaly Detection in Finance, pp. 1–7. PMLR (2018)
4. Khraisat, A., Gondal, I., Vamplew, P., Kamruzzaman, J.: Survey of intrusion detection systems: techniques, datasets and challenges. Cybersecurity 2(1), 1–22 (2019). https://doi.org/10.1186/s42400-019-0038-7
5. Ruff, L., Kauffmann, J.R., et al.: A unifying review of deep and shallow anomaly detection. Proc. IEEE 109(5), 756–795 (2021)