Anomaly Detection via Over-Sampling Principal Component Analysis

Yi‐Ren Yeh; Zheng-Yi Lee; Yuh‐Jye Lee

doi:10.1007/978-3-642-00909-9_43

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Anomaly Detection via Over-Sampling Principal Component Analysis

Yi‐Ren Yeh Zheng-Yi Lee Yuh‐Jye Lee

Year: 2009 Studies in computational intelligence Pages: 449-458 Publisher: Springer Nature

DOI: 10.1007/978-3-642-00909-9_43

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Keywords:

Anomaly detection Outlier Principal component analysis Computation Robust principal component analysis Anomaly (physics) Computer science Data mining Pattern recognition (psychology) Artificial intelligence Sampling (signal processing) Line (geometry) Principal (computer security) Algorithm Mathematics Detector

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Artificial Immune Systems Applications

Physical Sciences → Engineering → Biomedical Engineering

Anomaly Detection via Over-Sampling Principal Component Analysis

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