concept drift | BestHub

JD Tech

Apr 1, 2025 · Artificial Intelligence

Self‑Isolation Mechanism for Time‑Series Anomaly Detection with Memory Space

This article presents a self‑isolation based streaming anomaly detection framework that combines memory‑space indexing to capture pattern anomalies, long‑term memory, and concept drift in time‑series data, and validates the approach with public benchmarks and real‑world risk‑control scenarios.

anomaly detectionconcept driftmemory space

0 likes · 24 min read

Self‑Isolation Mechanism for Time‑Series Anomaly Detection with Memory Space

JD Cloud Developers

Feb 27, 2025 · Artificial Intelligence

Self-Isolation Streams: Boosting Real-Time Anomaly Detection for Time-Series

This article presents a comprehensive study of time‑series anomaly detection using a self‑isolation mechanism combined with a memory‑space architecture, addressing pattern anomalies, long‑term memory, and concept drift, and demonstrates its effectiveness through extensive experiments and real‑world risk‑control scenarios.

anomaly detectionconcept driftmachine learning

0 likes · 28 min read

Self-Isolation Streams: Boosting Real-Time Anomaly Detection for Time-Series