Cascade of One Class Classifiers for Water Level Anomaly Detection

Cascade of One Class Classifiers for Water Level Anomaly Detection

Intelligent anomaly detection is a promising area to discover anomalies as manual processing by human are generally labor-intensive and time-consuming. An effective approach to deal with is essentially to build a classifier system that can reflect the condition of the infrastructure when it tends to...

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Bibliographic Details
Main Authors: Fabian Hann Shen Tan, Jun Ryeol Park, Kyuil Jung, Jun Seoung Lee, Dae-Ki Kang
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Electronics
Subjects:
one class support vector machine
point anomaly
collective anomaly
cascade classifier
water level anomaly detection
Online Access:https://www.mdpi.com/2079-9292/9/6/1012

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https://www.mdpi.com/2079-9292/9/6/1012

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