Patents by Inventor Mark Homer

Mark Homer 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).

  • Systems and methods for machine learning based rule discovery for data migration
    Patent number: 12118478
    Abstract: Systems and methods for deriving classification rules from documents and a database using rule-based machine learning. The method includes extracting first variables from documents corresponding to an organization. The method further includes extracting second variables from a database corresponding to the organization. The method also includes filtering the extracted second variables based on at least one of null values, repeat variables, location variables, ID variables, or data variables. The method further includes deriving first classification rules based on the first variables using a rule-based machine learning algorithm. The method also includes calculating an accuracy of the derived first classification rules. The method also includes deriving second classification rules based on the first variables and the filtered second variables. The method further includes determining a suggested additional variable based on the derived second classification rules and the calculated accuracy.
    Type: Grant
    Filed: August 20, 2020
    Date of Patent: October 15, 2024
    Assignee: FMR LLC
    Inventors: Pramod Divakarmurthy, Hua Zhai Solomon, Nikhil Raikar, Prabhakar Mani, Amol Vinayak Jadhav, Behlool Sabir, Yugang Jia, Bidhan Roy, Mark Homer
  • Systems and Methods for Machine Learning based Rule Discovery for Data Migration
    Publication number: 20210350258
    Abstract: Systems and methods for deriving classification rules from documents and a database using rule-based machine learning. The method includes extracting first variables from documents corresponding to an organization. The method further includes extracting second variables from a database corresponding to the organization. The method also includes filtering the extracted second variables based on at least one of null values, repeat variables, location variables, ID variables, or data variables. The method further includes deriving first classification rules based on the first variables using a rule-based machine learning algorithm. The method also includes calculating an accuracy of the derived first classification rules. The method also includes deriving second classification rules based on the first variables and the filtered second variables. The method further includes determining a suggested additional variable based on the derived second classification rules and the calculated accuracy.
    Type: Application
    Filed: August 20, 2020
    Publication date: November 11, 2021
    Inventors: Pramod Divakarmurthy, Hua Zhai Solomon, Nikhil Raikar, Prabhakar Mani, Amol Vinayak Jadhav, Behlool Sabir, Yugang Jia, Bidhan Roy, Mark Homer