Compatible Unsupervised Anomaly Detection with Multi-Perspective Spatio-Temporal Learning

Tingyang Chen; Bolong Zheng; Shuncheng Liu; Zhuorong Fan; Zhi Xiang Xu; Lingsen Yan; Kai Zeng; Tao Ye; Xiaofang Zhou

doi:10.1109/icde65448.2025.00303

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JOURNAL ARTICLE

Compatible Unsupervised Anomaly Detection with Multi-Perspective Spatio-Temporal Learning

Tingyang Chen Bolong Zheng Shuncheng Liu Zhuorong Fan Zhi Xiang Xu Lingsen Yan Kai Zeng Tao Ye Xiaofang Zhou

Year: 2025 Pages: 4066-4078

DOI: 10.1109/icde65448.2025.00303

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Keywords:

Anomaly detection Computer science Perspective (graphical) Unsupervised learning Artificial intelligence Anomaly (physics) Machine learning Pattern recognition (psychology)

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Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Compatible Unsupervised Anomaly Detection with Multi-Perspective Spatio-Temporal Learning

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