Patents by Inventor Dmitry V. KHOLODKOV

Dmitry V. KHOLODKOV 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: 11776176
    Abstract: A system for generating proportional diagrams. The system includes a user interface, a memory for storing executable program code, and one or more electronic processors. The electronic processors are functionally coupled to the memory and the user interface. The electronic processors are configured to receive a dataset from one or more servers, wherein the dataset comprises software service health data. The electronic processors are further configured to remove extraneous data from the dataset, extract relevant data points from the dataset, and determine one or more relational data strings within the extracted relevant data points. The electronic processors are also configured to determine a frequency of occurrence for each of the extracted relevant data points within the dataset, and generate the proportional relationship diagram by plotting the relevant data points, wherein the relevant data points are plotted based on the determined relational data string and the determine frequency of occurrence.
    Type: Grant
    Filed: April 19, 2019
    Date of Patent: October 3, 2023
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Dmitry V. Kholodkov, Donovan A. Isaak, Mark R. Gilbert
  • Patent number: 11748321
    Abstract: Methods and systems for condensing a sequential data set on a computer system. A sequential data set is received by the computer system and analyzed to identify a number of occurrences in the sequential data set of each of a plurality of unique data value pairs. A condensed data set is generated including a data element for each of the unique data value pairs. Each data element in the condensed data set includes an identification of the first data value and the second data value of the unique data value pair as well as a count indicative of the number of occurrences in the sequential data set of the first data value immediately followed by the second data value. A graphical signature is generated including a plurality of vectors each extending between two nodes corresponding to the data values of a different data element.
    Type: Grant
    Filed: October 12, 2021
    Date of Patent: September 5, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Dmitry V. Kholodkov, Donovan A. Isaak
  • Publication number: 20220027332
    Abstract: Methods and systems for condensing a sequential data set on a computer system. A sequential data set is received by the computer system and analyzed to identify a number of occurrences in the sequential data set of each of a plurality of unique data value pairs. A condensed data set is generated including a data element for each of the unique data value pairs. Each data element in the condensed data set includes an identification of the first data value and the second data value of the unique data value pair as well as a count indicative of the number of occurrences in the sequential data set of the first data value immediately followed by the second data value. A graphical signature is generated including a plurality of vectors each extending between two nodes corresponding to the data values of a different data element.
    Type: Application
    Filed: October 12, 2021
    Publication date: January 27, 2022
    Inventors: Dmitry V. KHOLODKOV, Donovan A. ISAAK
  • Patent number: 11176109
    Abstract: Methods and systems for condensing a sequential data set on a computer system. A sequential data set is received by the computer system and analyzed to identify a number of occurrences in the sequential data set of each of a plurality of unique data value pairs. A condensed data set is generated including a data element for each of the unique data value pairs. Each data element in the condensed data set includes an identification of the first data value and the second data value of the unique data value pair as well as a count indicative of the number of occurrences in the sequential data set of the first data value immediately followed by the second data value. A graphical signature is generated including a plurality of vectors each extending between two nodes corresponding to the data values of a different data element.
    Type: Grant
    Filed: July 15, 2019
    Date of Patent: November 16, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Dmitry V. Kholodkov, Donovan A. Isaak
  • Publication number: 20210019292
    Abstract: Methods and systems for condensing a sequential data set on a computer system. A sequential data set is received by the computer system and analyzed to identify a number of occurrences in the sequential data set of each of a plurality of unique data value pairs. A condensed data set is generated including a data element for each of the unique data value pairs. Each data element in the condensed data set includes an identification of the first data value and the second data value of the unique data value pair as well as a count indicative of the number of occurrences in the sequential data set of the first data value immediately followed by the second data value. A graphical signature is generated including a plurality of vectors each extending between two nodes corresponding to the data values of a different data element.
    Type: Application
    Filed: July 15, 2019
    Publication date: January 21, 2021
    Inventors: Dmitry V. KHOLODKOV, Donovan A. ISAAK
  • Publication number: 20200334876
    Abstract: A system for generating proportional diagrams. The system includes a user interface, a memory for storing executable program code, and one or more electronic processors. The electronic processors are functionally coupled to the memory and the user interface. The electronic processors are configured to receive a dataset from one or more servers, wherein the dataset comprises software service health data. The electronic processors are further configured to remove extraneous data from the dataset, extract relevant data points from the dataset, and determine one or more relational data strings within the extracted relevant data points. The electronic processors are also configured to determine a frequency of occurrence for each of the extracted relevant data points within the dataset, and generate the proportional relationship diagram by plotting the relevant data points, wherein the relevant data points are plotted based on the determined relational data string and the determine frequency of occurrence.
    Type: Application
    Filed: April 19, 2019
    Publication date: October 22, 2020
    Inventors: Dmitry V. KHOLODKOV, Donovan A. ISAAK, Mark R. GILBERT