Patents by Inventor Aasish CHANDRA

Aasish CHANDRA 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).

  • Method and system for identifying duplicate columns using statistical, semantics and machine learning techniques
    Patent number: 11561944
    Abstract: With the availability of huge amount of data, it has becoming difficult to identify and manage duplicate data, especially when the data is in a plurality of columns. A method and system for identifying duplicate columns using statistical, semantics and machine learning techniques have been provided. The system provides a design framework to compare huge datasets at column level and identify potential duplicate columns, not based on the column title, but based on all of its values. The disclosure has ability to compare values in multiple columns and identify potential duplicate columns wherein comparison of values is not only for the exact match, but for semantic match, smart match, fuzzy match, and match after UOM conversion etc. using Statistical, semantics and machine learning techniques.
    Type: Grant
    Filed: December 29, 2020
    Date of Patent: January 24, 2023
    Assignee: TATA CONSULTANCY SERVICES LLC
    Inventors: Ganesh Prasath Ramani, Aasish Chandra, Jayanth Shenai, Raja Angamuthu, Pankaj Kumar Mishra
  • Method and system for identifying duplicate columns using statistical, semantics and machine learning techniques
    Publication number: 20210342320
    Abstract: With the availability of huge amount of data, it has becoming difficult to identify and manage duplicate data, especially when the data is in a plurality of columns. A method and system for identifying duplicate columns using statistical, semantics and machine learning techniques have been provided. The system provides a design framework to compare huge datasets at column level and identify potential duplicate columns, not based on the column title, but based on all of its values. The disclosure has ability to compare values in multiple columns and identify potential duplicate columns wherein comparison of values is not only for the exact match, but for semantic match, smart match, fuzzy match, and match after UOM conversion etc. using Statistical, semantics and machine learning techniques.
    Type: Application
    Filed: December 29, 2020
    Publication date: November 4, 2021
    Applicant: Tata Consultancy Services Limited
    Inventors: Ganesh Prasath RAMANI, Aasish CHANDRA, Jayanth SHENAI, Raja ANGAMUTHU, Pankaj Kumar MISHRA