Patents by Inventor Kiran Kumar Kaipa

Kiran Kumar Kaipa 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).

  • Automated system for development and deployment of heterogeneous predictive models
    Patent number: 10839314
    Abstract: A method and/or system for heterogeneous predictive models generation based on sampling of big data is disclosed. The method involves receiving a dataset and a target column associated with the dataset at a data processing engine from a distributed data warehouse. One or more columns associated with the dataset are classified at the data processing engine as a categorical column or a continuous column. One or more parameters in the dataset are identified to extract a sample data from the dataset. The sample data from the dataset is extracted based on the identified one or more parameters. One or more rank ordered machine learning algorithms are recommended to one or more users, to generate one or more predictive models from the sample data. One or more heterogeneous predictive models are generated based on the rank ordered algorithm through one or more iterations.
    Type: Grant
    Filed: March 29, 2017
    Date of Patent: November 17, 2020
    Assignee: Infosys Limited
    Inventors: Ganapathy Subramanian, Sudipto Shankar Dasgupta, Kiran Kumar Kaipa, Prasanna Nagesh Teli
  • AUTOMATED SYSTEM FOR DEVELOPMENT AND DEPLOYMENT OF HETEROGENEOUS PREDICTIVE MODELS
    Publication number: 20180075357
    Abstract: A method and/or system for heterogeneous predictive models generation based on sampling of big data is disclosed. The method involves receiving a dataset and a target column associated with the dataset at a data processing engine from a distributed data warehouse. One or more columns associated with the dataset are classified at the data processing engine as a categorical column or a continuous column. One or more parameters in the dataset are identified to extract a sample data from the dataset. The sample data from the dataset is extracted based on the identified one or more parameters. One or more rank ordered machine learning algorithms are recommended to one or more users, to generate one or more predictive models from the sample data. One or more heterogeneous predictive models are generated based on the rank ordered algorithm through one or more iterations.
    Type: Application
    Filed: March 29, 2017
    Publication date: March 15, 2018
    Applicant: Infosys Limited
    Inventors: Ganapathy Subramanian, Sudipto Shankar Dasgupta, Kiran Kumar Kaipa, Prasanna Nagesh Teli