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Outlier Detection in Graphs and Networks

  • Charu C. Aggarwal

Abstract

Graphs represent one of the most powerful and general forms of data representation, which can express diverse data, ranging from multidimensional entity-relation graphs, the web, social networks, communication networks, and biological and chemical compounds.

Keywords

Hash Function Outlier Detection Anomaly Detection Graph Object Small Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Charu C. Aggarwal
    • 1
  1. 1.IBM T.J. Watson Research CenterNew YorkUSA

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