Anomaly detection in dynamic networks: a survey-Reference-Cited by-同舟云学术

Anomaly detection in dynamic networks: a survey

Published:2015-03-21 Issue:3 Volume:7 Page:223-247
ISSN:1939-5108
Container-title:Wiley Interdisciplinary Reviews: Computational Statistics
language:en
Short-container-title:WIREs Comput Stat

Author:

Ranshous Stephen¹²,Shen Shitian¹²,Koutra Danai³,Harenberg Steve¹²,Faloutsos Christos³,Samatova Nagiza F.¹²

Affiliation:

1. Department of Computer Science; North Carolina State University; Raleigh NC USA

2. Computer Science and Mathematics Division; Oak Ridge National Laboratory; Oak Ridge TN USA

3. Computer Science Department; Carnegie Mellon University; Pittsburgh PA USA

Publisher

Wiley

Subject

Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/wics.1347/fullpdf

Reference130 articles.

1. Cheng H Tan P-N Potter C Klooster S IEEE International Conference on Data Mining Workshops 2008

2. Cheng H Tan P-N Potter C Klooster SA Proceedings of the 9th SIAM International Conference on Data Mining SDM 2009

3. Discovery of extreme events-related communities in contrasting groups of physical system networks;Chen;Data Min Knowl Discov,2013

4. Ding Q Katenka N Barford P Kolaczyk E Crovella M Proceedings of the 18th ACM International Conference on Knowledge Discovery and Data Mining SIGKDD 2012

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