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

Takumi Kanai, Naoya Sogi, Atsuto Maki +1

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). The key id…