Subspace Anomaly Detection
Subspace Anomaly Detection is a method in anomaly detection that identifies outliers within specific low-dimensional subspaces of a high-dimensional data space, where anomalies deviate significantly from normal patterns only with respect to a subset of dimensions rather than the entire space.
76
Publications
5.7K
Citations
232
Authors
108
Institutions
Publications per year
2017–2026
35
Parents
76
Diagnosing network-wide traffic anomalies
Anukool Lakhina, Mark Crovella, Christophe Diot · 2004 · 1K citations · Full text
Characterization of network-wide anomalies in traffic flows
Anukool Lakhina, Mark Crovella, C. Diot · 2004 · 417 citations
Sensitivity of PCA for traffic anomaly detection
Haakon Ringberg, Augustin Soule, Jennifer Rexford et al. · 2007 · 354 citations
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K Lab (United States)
Hillsborough, United States
6 h-index
11 publications
396 citations
Intel (United Kingdom)
Swindon, United Kingdom
4 h-index
4 publications
2.1K citations

DEVCOM Army Research Laboratory
Adelphi, United States
4 h-index
8 publications
398 citations

Xidian University
Xi'an, China
3 h-index
15 publications
1.2K citations
Technion – Israel Institute of Technology
Haifa, Israel
3 h-index
6 publications
140 citations

Federation University
Ballarat, Australia
3 h-index
6 publications
249 citations
Wuhan University
Wuhan, China
3 h-index
8 publications
1.1K citations

Harbin Institute of Technology
Harbin, China
3 h-index
10 publications
396 citations
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6 publications · 200 citations
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3 publications · 346 citations
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3 publications · 114 citations
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2 publications · 66 citations
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GRSL · 2 publications · 67 citations
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