A generalizable anomaly detection framework with dynamic concept drift suppression for non-stationary time series
Fields of Study & Subjects
Data Stream Mining Techniques
Anomaly Detection Techniques and Applications
Time Series Analysis and Forecasting
Publication details
- Journal / source
- Knowledge-Based Systems
- Publisher
- Elsevier BV
- Volume
- 337
- Pages
- 115380–115380
- Publication date
- 23 January 2026
- Language
- EN