Explainable process prediction
AssigneeUiPath, Inc.
InventorsRoeland Johannus SCHEEPENS, Celine VERHOEF
Life of this patent
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AssigneeUiPath, Inc.
InventorsRoeland Johannus SCHEEPENS, Celine VERHOEF
Estimating the term…
A method and system are provided in which predictions are generated, using one or more machine learning-based prediction models, for one or more process parameters associated with a running process. Explanation-oriented data elements are generated that correspond to the generated predictions and include confidence indicators associated with the generated predictions. The explanation-oriented data elements are presented in one or more dashboards of a visualization platform. The explanation-oriented data elements are representative of an explanation framework for explaining the predicted business process parameters generated by a machine learning-based prediction model and in a manner so that a user can understand and trust the basis for the predictions to facilitate effective and appropriate intervention in a running process.
A computer-implemented method comprising:
A system comprising:
A computer program embodied on a non-transitory computer-readable medium, the computer program configured to cause at least one processor to perform operations comprising:
Dependencies are inferred from the claim text.