Precision and Recall for Range-Based Anomaly Detection
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Abstract (arXiv)
Classical anomaly detection is principally concerned with point-based anomalies, anomalies that occur at a single data point. In this paper, we present a new mathematical model to express range-based anomalies, anomalies that occur over a range (or period) of time.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Jan 2018.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 0; 2024: 0; 2025: 0; 2026: 1.
3 papers.
- 2021Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithmscited by 5
- 2021VID-WIN: Fast Video Event Matching with Query-Aware Windowing at the Edge for the Internet of Multimedia Thingscited by 0
- 2026GNNs for Time Series Anomaly Detection: An Open-Source Framework and a Critical Evaluationcited by 0
- 2026GNNs for Time Series Anomaly Detection: An Open-Source Framework and a Critical Evaluation10 Mar 2026
- 2021Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms26 May 2021
- 2021VID-WIN: Fast Video Event Matching with Query-Aware Windowing at the Edge for the Internet of Multimedia Things27 Apr 2021