Patents by Inventor Maria Polyakova

Maria Polyakova 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: 12026145
    Abstract: Disclosed herein are systems and methods for providing percentile-based alerts from historical event-occurrence data. An embodiment of a method includes identifying a baseline result of an aggregation operation performed with respect to a detection set of attributes of event records. Each baseline result corresponds to a baseline set of one or more event records from a baseline time period within a baseline time window. The method includes determining a subject result of the aggregation operation performed with respect to the detection set of attributes of a subject set of the event records corresponding to a subject time period. The method includes determining, based on the baseline result and the subject result, whether the subject result indicates an alert condition for the detection set for the subject time period, and if so then outputting one or more alerts.
    Type: Grant
    Filed: May 31, 2022
    Date of Patent: July 2, 2024
    Assignee: Snowflake Inc.
    Inventors: Andrey Fedorov, Maria Polyakova, Omer Singer
  • Publication number: 20220292071
    Abstract: Disclosed herein are systems and methods for providing percentile-based alerts from historical event-occurrence data. An embodiment of a method includes identifying a baseline result of an aggregation operation performed with respect to a detection set of attributes of event records. Each baseline result corresponds to a baseline set of one or more event records from a baseline time period within a baseline time window. The method includes determining a subject result of the aggregation operation performed with respect to the detection set of attributes of a subject set of the event records corresponding to a subject time period. The method includes determining, based on the baseline result and the subject result, whether the subject result indicates an alert condition for the detection set for the subject time period, and if so then outputting one or more alerts.
    Type: Application
    Filed: May 31, 2022
    Publication date: September 15, 2022
    Inventors: Andrey Fedorov, Maria Polyakova, Omer Singer
  • Patent number: 11379459
    Abstract: Disclosed herein are systems and methods for providing percentile-based alerts from historical event-occurrence data. An embodiment of a method includes identifying a baseline result of an aggregation operation performed with respect to a detection set of attributes of event records. Each baseline result corresponds to a baseline set of one or more event records from a baseline time period within a baseline time window. The method includes determining a subject result of the aggregation operation performed with respect to the detection set of attributes of a subject set of the event records corresponding to a subject time period. The method includes determining, based on the baseline result and the subject result, whether the subject result indicates an alert condition for the detection set for the subject time period, and if so then outputting one or more alerts.
    Type: Grant
    Filed: January 31, 2020
    Date of Patent: July 5, 2022
    Assignee: Snowflake Inc.
    Inventors: Andrey Fedorov, Maria Polyakova, Omer Singer