ANOMALY DETECTION, HANDLING, AND DATA COMPLIANCE RECORDATION FOR COMPLEX PROCESSING PREDICTION PIPELINES

Abstract: various embodiments of the present disclosure provide complex data processing pipeline configuration and anomaly detection techniques for developing, maintaining, and tracking metrics for time-based execution workflows. the techniques may include generating, using a current pipeline version of a data processing pipeline, a time-dependent output for a current data version of a dynamic input dataset at a current time and then generating a current compliance data object that is indicative of the current pipeline version, the current data version, and the time-dependent output to holistically record one or more aspect of the execution of the data processing pipeline. the techniques may include identifying a performance anomaly based on a comparison between the current compliance data object and a plurality of historical compliance data objects and initiating the performance of a predictive action based on the project segment.

Inventor(s): Andrew M. MOSSON, Vijayant KUMAR

CPC Classification: G06N5/022 (Knowledge representation; Symbolic representation)

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