Supervised anomaly detection in uncertain pseudoperiodic data streams

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Supervised anomaly detection in uncertain pseudoperiodic data streams

Uncertain data streams have been widely generated in many Web applications. The uncertainty in data streams makes anomaly detection from sensor data streams far more challenging. In this paper, we present a novel framework that supports anomaly detection in uncertain data streams. The proposed frame...

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Bibliographic Details
Main Authors:	Ma, Jiangang, Sun, Le, Wang, Hua, Zhang, Yanchun, Aickelin, Uwe
Format:	Article
Published:	Association for Computing Machinery 2016
Online Access:	https://eprints.nottingham.ac.uk/34046/

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