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The Cartographer
Precision and Recall for Range-Based Anomaly Detection
January 09, 2018 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Tae Jun Lee, Justin Gottschlich, Nesime Tatbul, Eric Metcalf, Stan Zdonik
arXiv ID
1801.03175
Category
cs.AI: Artificial Intelligence
Citations
17
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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.
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