A Spectral Framework for Anomalous Subgraph Detection

29 Jan 2014Benjamin A. MillerMichelle S. BeardPatrick J. WolfeNadya T. Bliss

A wide variety of application domains are concerned with data consisting of entities and their relationships or connections, formally represented as graphs. Within these diverse application areas, a common problem of interest is the detection of a subset of entities whose connectivity is anomalous with respect to the rest of the data... (read more)

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