A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis. (arXiv:2209.04635v1 [cs.LG])

The continued digitization of societal processes translates into a
proliferation of time series data that cover applications such as fraud
detection, intrusion detection, and energy management, where anomaly detection
is often essential to enable reliability and safety. Many recent studies target
anomaly detection for time series data. Indeed, area of time series anomaly
detection is characterized by diverse data, methods, and evaluation strategies,
and comparisons in existing studies consider only part of this diversity, which
makes it difficult to select …

analysis anomaly anomaly detection arxiv detection series study time series unsupervised