Method and device with process data analysis

Abstract

A method and device with process attribution identification are provided. The method may include generating a process result using a first machine learning model provided input data, where the input data incudes feature values corresponding to a plurality of process features, generating sample data by a first modifying of at least a portion of reference data based on dependency between two or more of the plurality of process features, where the reference data includes a plurality of feature values for a reference process result, identifying an attribution of the plurality of process features based on the generated process result and a sample process result generated using the first machine learning model, or a second machine learning model related to the first machine learning model, provided the generated sample data.

Dependencies are inferred from the claim text.