Research on local-global collaborative anomaly detection algorithm based on entropy weight fusion and its application
Anomaly detection in complex time-series data is a fundamental task in fields such as financial monitoring, industrial systems, and intelligent forecasting. Existing methods often suffer from limited adaptability when simultaneously handling local transient anomalies and global structural anomalies, especially under va...