Time-series Anomaly Detection based on Difference Subspace between Signal Subspaces

no code implementations • 31 Mar 2023 • Takumi Kanai, Naoya Sogi, Atsuto Maki, Kazuhiro Fukui

This paper proposes a new method for anomaly detection in time-series data by incorporating the concept of difference subspace into the singular spectrum analysis (SSA).

Anomaly Detection Time Series +1