May 13, 2024, 4:11 a.m. | Prabin B Lamichhane, William Eberle

cs.CR updates on arXiv.org arxiv.org

arXiv:2405.06172v1 Announce Type: cross
Abstract: Real-world graphs are complex to process for performing effective analysis, such as anomaly detection. However, recently, there have been several research efforts addressing the issues surrounding graph-based anomaly detection. In this paper, we discuss a comprehensive overview of anomaly detection techniques on graph data. We also discuss the various application domains which use those anomaly detection techniques. We present a new taxonomy that categorizes the different state-of-the-art anomaly detection methods based on assumptions and techniques. …

analysis anomaly detection arxiv cs.cr cs.lg data detection discuss graph graphs performing process real research structured data survey techniques world

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