ORDEN: Outlier Region Detection and Exploration in Sensor Networks
Summary: ORDEN detects real-time degree-based outliers and builds heterogeneous regions to delineate anomaly extent. It enables interactive exploration of region boundaries, thresholds, and inter-outlier correlations for context-aware analysis. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Conny Franke
- 2. Michael Gertz
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