Cost-Sensitive Double Updating Online Learning and Its Application to Online Anomaly Detection

Although both cost-sensitive classification and online learning have been well studied separately in data mining and machine learning, there was very few comprehensive study of cost-sensitive online classification in literature. In this paper, we formally investigate this problem by directly optimiz...

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Bibliographic Details
Main Authors: ZHAO, Peilin, HOI, Steven C. H.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2013
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Online Access:https://ink.library.smu.edu.sg/sis_research/2338
https://ink.library.smu.edu.sg/context/sis_research/article/3338/viewcontent/Cost_Sensitive_Double_Updating_Online_Learning_and_Its_Application_to_Online_Anomaly_Detection.pdf
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Institution: Singapore Management University
Language: English