Author:
Dong Bo,Wu Yuhang,Yeh Micheal,Lin Yusan,Chen Yuzhong,Yang Hao,Wang Fei,Bai Wanxin,Brahmkstri Krupa,Yimin Zhang,Kummitha Chinna,Abhisar Verma
Publisher
Springer International Publishing
Reference25 articles.
1. Akoglu, L., Tong, H., Koutra, D.: Graph based anomaly detection and description: a survey. Data Min. Knowl. Disc. 29(3), 626–688 (2014). https://doi.org/10.1007/s10618-014-0365-y
2. Bolton, R.J., Hand, D.J., et al.: Unsupervised profiling methods for fraud detection. Credit Scoring Credit Control VII, 235–255 (2001)
3. Breunig, M.M., Kriegel, H., Ng, R.T., Sander, J.: LOF: identifying density-based local outliers. In: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 16–18 May 2000, Dallas, Texas, USA, pp. 93–104 (2000)
4. Chandola, V., Banerjee, A., Kumar, V.: Anomaly detection: a survey. ACM Comput. Surv. 41(3), 15:1–15:58 (2009)
5. Chen, Z., Hendrix, W., Samatova, N.F.: Community-based anomaly detection in evolutionary networks. J. Intell. Inf. Syst. 39(1), 59–85 (2012). https://doi.org/10.1007/s10844-011-0183-2
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