公开(公告)号：US12260351B2

公开(公告)日：2025-03-25

申请号：US16179051

申请日：2018-11-02

Applicant: Xerox Corporation

Inventor： Jonathan Levine ,  Ray Uri Merriam ,  Stephen Kyle Korndoerfer ,  Larry Glass ,  Michael Wiseman ,  Vijayakrishna Nama ,  Joseph Martin St. Germaine

IPC: G06N7/01 ,  G06Q10/08

Abstract: Methods and systems for automatically predicting the probability of regulatory compliance approval based on data contained in a data structure. A data structure can be configured to include data collated and collected from one or more regulators (e.g., regulatory agencies) and one or more value chain participants. Such data is inclusive of data indicative of actual approval-request results of applications for regulatory approval by one or more regulators and variable weights assigned to different data elements. A prediction can be then made as to the probability that an application for regulatory approval by a value chain participant will be approved by a regulator based on the data collated and collected and contained in the data structure. This approach predicts the probability that an application for regulatory approval by a value chain participant will be approved and also predicts what is missing for a regulatory approval application.