Detection of Cross-Channel Anomalies

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Detection of Cross-Channel Anomalies

The data deluge has created a great challenge for data mining applications wherein the rare topics of interest are often buried in the flood of major headlines. We identify and formulate a novel problem: cross-channel anomaly detection from multiple data channels. Cross-channel anomalies are common...

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Bibliographic Details
Main Authors:	Pham, DucSon, Saha, Budhaditya, Phung, Dinh, Venkatesh, Svetha
Format:	Journal Article
Published:	Springer 2012
Subjects:	Anomaly detection · Multiple channels · Topic modeling · Residual subspace analysis · Text data analysis · Video surveillance · Data mining · Collaborative subspace learning
Online Access:	http://hdl.handle.net/20.500.11937/26770

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