Patents by Inventor Jags RAMNARAYAN

Jags RAMNARAYAN 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).

  • System for rapid interactive exploration of big data
    Patent number: 11429623
    Abstract: An apparatus for estimating analytics and interactive exploration of big data, stored and/or streaming, using approximate query processing is presented. The apparatus comprises a model constructor and a sampler. The model constructor identifies important predictors variables in big data using feature selection, predictor variables, and outcome variables and partitions the important predictor variables into one or more stratifications based either the identified interactions or identified relationships. The sampler generates a subset of data by querying the big data using a query constructed based on at least one stratification. The subset of data can be fed into an analytics generator. The analytics generator generates analytics data for the outcome variables based on the subset of data and an analytics algorithm and a visualization, e.g. an interactive visualization, comprising the outcome variables, the important predictor variables, the stratification, the subset of data, and the analytics data.
    Type: Grant
    Filed: January 9, 2020
    Date of Patent: August 30, 2022
    Assignee: TIBCO Software Inc.
    Inventors: Thomas Hill, David Katz, Michael O'Connell, Jags Ramnarayan, Daniel J. Rope
  • SYSTEM FOR RAPID INTERACTIVE EXPLORATION OF BIG DATA
    Publication number: 20210216544
    Abstract: An apparatus for estimating analytics and interactive exploration of big data, stored and/or streaming, using approximate query processing is presented. The apparatus comprises a model constructor and a sampler. The model constructor identifies important predictors variables in big data using feature selection, predictor variables, and outcome variables and partitions the important predictor variables into one or more stratifications based either the identified interactions or identified relationships. The sampler generates a subset of data by querying the big data using a query constructed based on at least one stratification. The subset of data can be fed into an analytics generator. The analytics generator generates analytics data for the outcome variables based on the subset of data and an analytics algorithm and a visualization, e.g. an interactive visualization, comprising the outcome variables, the important predictor variables, the stratification, the subset of data, and the analytics data.
    Type: Application
    Filed: January 9, 2020
    Publication date: July 15, 2021
    Inventors: Thomas HILL, David KATZ, Michael O'CONNELL, Jags RAMNARAYAN, Daniel J. ROPE