Incremental Anomaly Detection Using Two-Layer Cluster-based Structure
Anomaly detection algorithms face several challenges, including processing speed and dealing with noise in data. In this thesis, a two-layer cluster- based anomaly detection structure is presented which is fast, noise-resilient and incremental. In this structure, each normal pattern is conside...
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| Language: | en |
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Université d'Ottawa / University of Ottawa
2016
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| Online Access: | http://hdl.handle.net/10393/34299 http://dx.doi.org/10.20381/ruor-5342 |