Patents by Inventor Kim Hau

Kim Hau has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11797503
    Abstract: The present disclosure relates to systems and methods for enhanced mapping of transaction data to a target document, and for classifying line items of the mapped transaction data, using classification algorithms. Embodiments provide a system including a column mapping module to receive a target scheme specifying a target structure for the target document, receive transaction data having a source structure, and map at least one source column to at least one target column of the target columns based on application of classification algorithms to features identified from the source transaction data. The system also includes a row classification module to classify the rows of the mapped transaction data into classification categories. The system also includes a validation handler to receive validation input from a user, validating the column mapping and/or the row classification. The validating including accepting the recommendation or rejecting the recommendation and selecting a correct choice.
    Type: Grant
    Filed: October 12, 2020
    Date of Patent: October 24, 2023
    Assignee: Thomson Reuters Enterprise Centre GmbH
    Inventors: David von Rickenbach, David Oliver, Daniella Tsar, Kim Hau, Dorcas Mbwiti, Johannes Schleith, Guillaume Mosching, Sanzio Monti
  • Publication number: 20210026823
    Abstract: The present disclosure relates to systems and methods for enhanced mapping of transaction data to a target document, and for classifying line items of the mapped transaction data, using classification algorithms. Embodiments provide a system including a column mapping module to receive a target scheme specifying a target structure for the target document, receive transaction data having a source structure, and map at least one source column to at least one target column of the target columns based on application of classification algorithms to features identified from the source transaction data. The system also includes a row classification module to classify the rows of the mapped transaction data into classification categories. The system also includes a validation handler to receive validation input from a user, validating the column mapping and/or the row classification. The validating including accepting the recommendation or rejecting the recommendation and selecting a correct choice. 101064083.
    Type: Application
    Filed: October 12, 2020
    Publication date: January 28, 2021
    Inventors: David von Rickenbach, David Oliver, Daniella Tsar, Kim Hau, Dorcas Mbwiti, Johannes Schleith, Guillaume Mosching, Sanzio Monti
  • Patent number: 10803033
    Abstract: The present disclosure relates to systems and methods for enhanced mapping of transaction data to a target document, and for classifying line items of the mapped transaction data, using classification algorithms. Embodiments provide a system including a column mapping module to receive a target scheme specifying a target structure for the target document, receive transaction data having a source structure, and map at least one source column to at least one target column of the target columns based on application of classification algorithms to features identified from the source transaction data. The system also includes a row classification module to classify the rows of the mapped transaction data into classification categories. The system also includes a validation handler to receive validation input from a user, validating the column mapping and/or the row classification. The validating including accepting the recommendation or rejecting the recommendation and selecting a correct choice.
    Type: Grant
    Filed: November 6, 2018
    Date of Patent: October 13, 2020
    Assignee: Thomson Reuters Enterprise Centre GmbH
    Inventors: David von Rickenbach, David Oliver, Daniella Tsar, Kim Hau, Dorcas Mbwiti, Johannes Schleith, Guillaume Mosching, Sanzio Monti
  • Publication number: 20190138509
    Abstract: The present disclosure relates to systems and methods for enhanced mapping of transaction data to a target document, and for classifying line items of the mapped transaction data, using classification algorithms. Embodiments provide a system including a column mapping module to receive a target scheme specifying a target structure for the target document, receive transaction data having a source structure, and map at least one source column to at least one target column of the target columns based on application of classification algorithms to features identified from the source transaction data. The system also includes a row classification module to classify the rows of the mapped transaction data into classification categories. The system also includes a validation handler to receive validation input from a user, validating the column mapping and/or the row classification. The validating including accepting the recommendation or rejecting the recommendation and selecting a correct choice.
    Type: Application
    Filed: November 6, 2018
    Publication date: May 9, 2019
    Inventors: David von Rickenbach, Daivd Oliver, Daniella Tsar, Kim Hau, Dorcas Mbwiti, Johannes Schleith, Guillaume Mosching, Sanzio Monti