Outlier Detection in Graphs and Networks

  • Charu C. Aggarwal
Chapter

Abstract

Graphs represent one of the most powerful and general forms of data representation. These structures are used to express diverse data, ranging from multidimensional entity-relation graphs, the Web, social networks, communication networks, and biological and chemical compounds.

Keywords

Hash Function Adjacency Matrix Matrix Factorization Outlier Detection Anomaly Detection 
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 International Publishing AG 2017

Authors and Affiliations

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

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