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FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection

Anomaly detection involves identifying rare data instances (anomalies) that come from a different class or distribution than the majority (which are simply called “normal” instances). Given a training set of only normal data, the semi-supervised anomaly detection task is to identify anomalies in the...

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Bibliografske podrobnosti
Main Authors: Noto, Keith, Brodley, Carla, Slonim, Donna
Format: Artigo
Jezik:Inglês
Izdano: 2011
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC3359096/
https://ncbi.nlm.nih.gov/pubmed/22639542
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10618-011-0234-x
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