Intelligent Machine-Learning Assisted Adaptive Thresholding Through Correlation Of Alerts

A computing device, comprising:

• a processor;
• and
• a non-transitory computer-readable medium having stored thereon instructions that, when executed by the processor, cause the processor to perform operations including:
• obtaining historical data for a metric over a historical time period in the form of a time-series data set associated with an entity and one or more alerts, correlating the time-series data set with the one or more alerts resulting in an identification of a portion of the time-series data set that corresponds to the one or more alerts, performing an adaptive threshold generation procedure resulting in generation of a plurality of severity level thresholds in view of the one or more alerts, determining a severity level of a subset of the time-series data set by comparing the subset of the time-series data set to the plurality of severity level thresholds, and generating a graphical user interface that displays a graphical representation of the time-series data set and the plurality of severity level thresholds.

A non-transitory computer-readable medium having stored thereon instructions that, when executed by one or more processors, cause the one or more processor to perform operations including:

• obtaining historical data for a metric over a historical time period in the form of a time-series data set associated with an entity and one or more alerts;
• correlating the time-series data set with the one or more alerts resulting in an identification of a portion of the time-series data set that corresponds to the one or more alerts;
• performing an adaptive threshold generation procedure resulting in generation of a plurality of severity level thresholds in view of the one or more alerts;
• determining a severity level of a subset of the time-series data set by comparing the subset of the time-series data set to the plurality of severity level thresholds;
• and
• generating a graphical user interface that displays a graphical representation of the time-series data set and the plurality of severity level thresholds.