In a Streaming World, Should You Stand Still? A Comprehensive Benchmark of Anomaly Detection in Streams

Excerpt

arXiv:2609.39215v1 Announce Type: new Abstract: Time series anomaly detection (TSAD) is increasingly deployed in streaming settings, where data arrive sequentially and may exhibit non-stationarity. As a result, several works from the recent literature propose streaming anomaly detection methods that rely on incremental updates to adapt over time. However, most of these approaches originate from the streaming outlier detection literature and largely ignore core characteristics of time series anom