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Principled Sampling for Anomaly Detection
Brendan Juba
, Christopher Musco
, Fan Long
, Stelios Sidiroglou-Douskos
, Martin Rinard
Department of Computer Science & Engineering
Research output
:
Contribution to conference
›
Paper
›
peer-review
12
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Scopus citations
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Keyphrases
Anomaly Detection
100%
Anomaly Detector
100%
Computer System
20%
Conservative Systems
20%
Convergence Rate
20%
Cross-linked Structure
20%
Distribution-based
20%
Drawing Test
20%
Eigenvalue Analysis
20%
Error Rate
20%
Estimation Accuracy
20%
False Positive Rate
80%
Fortuna
100%
Internet Information
20%
PageRank
40%
Potential Errors
20%
Probabilistic Bounds
40%
Probability Distribution
20%
Random Surfer
20%
Second Eigenvalue
20%
Tight
20%
Well-defined
20%
Computer Science
Accuracy Estimate
20%
Anomaly Detection
100%
Anomaly Detector
100%
Computer System
20%
Convergence Rate
20%
Efficient Algorithm
20%
Eigenvalue
20%
False Positive Rate
80%
Scale-Invariant Feature Transform
20%
Engineering
Anomaly Detection
100%
Computer System
33%
Conservative System
33%
Eigenvalue Analysis
33%
Error Rate
33%
Potential Error
33%
Rate Bound
33%
Rate of Convergence
33%
Test Sample
33%
Mathematics
Eigenvalue
25%
Error Rate
25%
False Positive Rate
100%
Probability Distribution
25%
Rate of Convergence
25%
Physics
Computer System
12%
Detectors
100%