Patents by Inventor Shibsankar Das

Shibsankar Das 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).

  • Generating samples of transaction data sets
    Patent number: 11494687
    Abstract: Methods, systems and computer program products generating diverse and representative set of samples from a large amount of transaction data are disclosed. A data sampling system receives transaction records. Each transaction record has multiple text segments. The system selects a subset of transaction records that contain least frequently appeared text segments. The system determines a respective vector representation for each selected transaction record. The system can measure similarity between transaction records based on the vector representations. The system assigns the selected transaction records to multiple clusters based on the vector representations and designated dimensions of importance. The system identifies one or more anchors that include transaction records on boundaries between clusters. The system filters the subset of transaction records by removing transaction records that are close to the anchors.
    Type: Grant
    Filed: March 5, 2018
    Date of Patent: November 8, 2022
    Assignee: Yodlee, Inc.
    Inventors: Deepak Chandrakant Patil, Rakesh Kumar Ranjan, Shibsankar Das, Siddhartha Saxena, Om Dadaji Deshmukh
  • ONLINE SAMPLING ANALYSIS
    Publication number: 20190272482
    Abstract: Methods, systems and computer program products generating diverse and representative set of samples from a large amount of transaction data are disclosed. A data sampling system receives transaction records. Each transaction record has multiple text segments. The system selects a subset of transaction records that contain least frequently appeared text segments. The system determines a respective vector representation for each selected transaction record. The system can measure similarity between transaction records based on the vector representations. The system assigns the selected transaction records to multiple clusters based on the vector representations and designated dimensions of importance. The system identifies one or more anchors that include transaction records on boundaries between clusters. The system filters the subset of transaction records by removing transaction records that are close to the anchors.
    Type: Application
    Filed: March 5, 2018
    Publication date: September 5, 2019
    Inventors: Deepak Chandrakant Patil, Rakesh Kumar Ranjan, Shibsankar Das, Siddhartha Saxena, Om Dadaji Deshmukh