Metric anomaly detection in a digital medium environment
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United States of America Patent
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Apr 10, 2018
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app pub date -
Jan 24, 2017
filing date -
Jan 24, 2017
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Abstract
Metric anomaly detection techniques in a digital medium environment are described. An input time interval is identified by an analytics system for the presence of an anomaly of a metric. Inclusion of a scheduled event in the input time interval is identified, and a historical time interval is determined that also includes the scheduled event. Usage data describing values of the metric is then obtained for both the input time interval and the historical time interval. The usage data corresponding to the input time interval is then compared with the usage data corresponding to the historical time interval to detect effects of the scheduled event and whether the input time interval includes an anomaly in the metric.
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