Density-based structural embedding for anomaly detection in dynamic networks
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference60 articles.
1. Anomaly detection in dynamic networks: a survey;Ranshous;WIREs Computational Statistics,2015
2. Recent progress of anomaly detection;Xu;Complexity,2019
3. M. Bansal, D. Sharma, Ranking and discovering anomalous neighborhoods in attributed multiplex networks, in: Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, CoDS COMAD 2020, Association for Computing Machinery, New York, NY, USA, 2020, pp. 46–54. doi: 10.1145/3371158.3371164.
4. P. Indyk, R. Motwani, Approximate nearest neighbors: Towards removing the curse of dimensionality, in: Proceedings of the Thirtieth Annual ACM Symposium on Theory of Computing, STOC ’98, Association for Computing Machinery, New York, NY, USA, 1998, pp. 604–613. doi: 10.1145/276698.276876.
5. S. Ranshous, S. Harenberg, K. Sharma, N.F. Samatova, A Scalable Approach for Outlier Detection in Edge Streams Using Sketch-based Approximations, SDM, 2016, Ch. 22, pp. 189–197. doi: 10.1137/1.9781611974348.22.
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