Graph Anomaly Detection Based on Steiner Connectivity and Density.

Proceedings of the IEEE(2018)

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摘要
Detecting “hotspots” and “anomalies” is a recurring problem with a wide range of applications, such as social network analysis, epidemiology, finance, and biosurveillance, among others. Networks are a common abstraction in these applications for representing complex relationships. Typically, these networks are dynamic-, i.e., they evolve over time. A number of methods have been proposed for anomal...
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关键词
Anomaly detection,Microsoft Windows,Social network services,Sensors,Steiner trees,Computer science,Task analysis,Graph theory,Approximation algorithms,Graphical models
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