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Anomaly detection for signals populated based on historical data points

  • US 10,558,516 B2
  • Filed: 10/31/2018
  • Issued: 02/11/2020
  • Est. Priority Date: 07/08/2016
  • Status: Active Grant
First Claim
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1. A computer-implemented method for configuring an anomaly detection service, comprising:

  • accessing an anomaly detection definition comprising an anomaly detection configuration that defines how to populate a sequential set of data points for a corresponding signal from a plurality of historical data points, distinct from the sequential set of data points;

    generating the signal based on the anomaly detection configuration and the plurality of historical data points;

    determining that one of a plurality of data streams is associated with the signal;

    updating the signal by inserting into the signal a set of data points from the data stream associated with the signal; and

    periodically analyzing memory storing the signal to determine a corresponding anomaly result for the anomaly detection definition.

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