Patents by Inventor John Backof

John Backof 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).

  • Hybrid approach for measuring statistical drift and data quality on large datasets
    Patent number: 12632425
    Abstract: Techniques related to a hybrid approach for measuring statistical drift and data quality on large datasets are provided. In one technique, a data monitoring definition is accessed that includes predefined configuration data and a custom configuration data that is specified by a user, wherein the custom configuration data includes custom instructions pertaining to one or more of data reading, metrics generation, or data writing. Based on the data monitoring definition, executable code is generated that comprises a data reading portion, a metrics generation portion, and a data writing portion. Executing the executable code comprises: based on the data reading portion, reading a dataset based on location data specified in the monitoring definition; based on the metrics generation portion, generating a set of metrics based on the dataset; and based on the data writing portion, writing a result that is based on the set of metrics.
    Type: Grant
    Filed: February 1, 2023
    Date of Patent: May 19, 2026
    Assignee: Oracle International Corporation
    Inventors: Kripa Kanchana Sivakumar, Mayoor Rao, John Backof, Andrew Ioannou
  • HYBRID APPROACH FOR MEASURING STATISTICAL DRIFT AND DATA QUALITY ON LARGE DATASETS
    Publication number: 20240256503
    Abstract: Techniques related to a hybrid approach for measuring statistical drift and data quality on large datasets are provided. In one technique, a data monitoring definition is accessed that includes predefined configuration data and a custom configuration data that is specified by a user, wherein the custom configuration data includes custom instructions pertaining to one or more of data reading, metrics generation, or data writing. Based on the data monitoring definition, executable code is generated that comprises a data reading portion, a metrics generation portion, and a data writing portion. Executing the executable code comprises: based on the data reading portion, reading a dataset based on location data specified in the monitoring definition; based on the metrics generation portion, generating a set of metrics based on the dataset; and based on the data writing portion, writing a result that is based on the set of metrics.
    Type: Application
    Filed: February 1, 2023
    Publication date: August 1, 2024
    Inventors: Kripa Kanchana Sivakumar, Mayoor Rao, John Backof, Andrew Ioannou