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Network Anomaly Detection Using Co-clustering

Bibliographic Data

ID23667116
AuthorsEvangelos E Papalexakis (0000-0002-3411-8483, Carnegie Mellon University), Alex Beutel (0000-0002-5917-2849, Carnegie Mellon University), Peter Steenkiste (0000-0001-7079-8212, Carnegie Mellon University)
Year2014
Pages1054-1068
Publication date2014-01-01
Open AccessYes
TypeCHAPTER
VenueEncyclopedia of Social Network Analysis and Mining (SOURCE_BOOK)
PublisherSpringer New York (PUBLISHER • US)
DOI10.1007/978-1-4614-6170-8_354
OpenAlexW4298086397
ISBN9781461461708
LanguageEN
References cited14

Anomaly (physics) · Anomaly detection · Cluster analysis · Data mining · Physics · Anomaly Detection Techniques and Applications · Artificial Intelligence · Computer Science · Internet Traffic Analysis and Secure E-voting · Network Security and Intrusion Detection

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    Open Access•Robert Tibshirani•Journal of the Royal Statistical…•1996

Highly citedNo

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