FRAMEWORK FOR ANALYZING, FILTERING, AND PRIORITIZING COMPUTING PLATFORM ALERTS USING FEEDBACK

    公开(公告)号:US20240346037A1

    公开(公告)日:2024-10-17

    申请号:US18133569

    申请日:2023-04-12

    CPC classification number: G06F16/26 G08B29/185

    Abstract: A computer-implemented method, system, and non-transitory, computer-readable medium that performs operations including obtaining alerts representing signals in a computing system and corresponding feedback indicators, indicating an association of the alert for the represented signal. The computing system can connect to a computing platform that includes a data mining engine. The operations include identifying a first subset of negative alerts, determining a first set of alert attributes, determining a type of model to analyze the alert attributes for signals represented by the alerts and analyzing, by the model, the first set of alert attributes to identify a subset of alert attributes with likelihoods representing alert attributes that caused the negative association of the alert. The operations include filtering the alerts to exclude a second subset of the alerts based on the likelihood of negative association, and providing for output, a set of alerts that exclude the second subset of the alerts.

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