Anomaly detection in large-scale data stream networks

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Anomaly detection in large-scale data stream networks

This paper addresses the anomaly detection problem in large-scale data mining applications using residual subspace analysis. We are specifically concerned with situations where the full data cannot be practically obtained due to physical limitations such as low bandwidth, limited memory, storage, or...

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Bibliographic Details
Main Authors:	Pham, DucSon, Venkatesh, S., Lazarescu, Mihai, Budhaditya, S.
Format:	Journal Article
Published:	Springer 2014
Subjects:	anomaly detection sensor network data spectral methods compressed sensing stream data processing residual subspace analysis random projection
Online Access:	http://hdl.handle.net/20.500.11937/43829

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