Calibrated one-class classification for unsupervised time series anomaly detection

• Main Authors: XU, Hongzuo, WANG, Yijie, JIAN, Songlei, LIAO, Qing, WANG, Yongjun, PANG, Guansong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Anomaly detection; one-class classification; time series; anomaly contamination; native anomalies; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9854; https://ink.library.smu.edu.sg/context/sis_research/article/10854/viewcontent/2207.12201v2.pdf
• Institution: Singapore Management University

Time series anomaly detection is instrumental in maintaining system availability in various domains. Current work in this research line mainly focuses on learning data normality deeply and comprehensively by devising advanced neural network structures and new reconstruction/prediction learning objec...