Patents by Inventor Aditya P. Dhekane

Aditya P. Dhekane 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).

  • Machine learning system for detecting fraud in product warranty services
    Patent number: 11429981
    Abstract: A method, system and computer-usable medium are disclosed for implementing a machine learning system for detecting fraud in product warranty services. In certain embodiments, a new dispatch request is subject to network analysis to determine the degree to which the new dispatch may be linked to known fraudulent dispatch requests. In certain embodiments, the new dispatch request may be subject to an outlier analysis to determine the degree of centrality of the new dispatch request with respect to outliers from historical dispatch requests. In certain embodiments, attributes and/or features, a degree to which the new dispatch request is linked to known fraudulent dispatches, and a degree of centrality of the new dispatch request are applied to an ensemble of machine learning models to determine the likelihood that the new dispatch request is fraudulent.
    Type: Grant
    Filed: July 17, 2019
    Date of Patent: August 30, 2022
    Assignee: Dell Products L.P.
    Inventors: Aditya P. Dhekane, Omkar Tungare, Cary P. Decuir
  • Machine Learning System for Detecting Fraud in Product Warranty Services
    Publication number: 20210019761
    Abstract: A method, system and computer-usable medium are disclosed for implementing a machine learning system for detecting fraud in product warranty services. In certain embodiments, a new dispatch request is subject to network analysis to determine the degree to which the new dispatch may be linked to known fraudulent dispatch requests. In certain embodiments, the new dispatch request may be subject to an outlier analysis to determine the degree of centrality of the new dispatch request with respect to outliers from historical dispatch requests. In certain embodiments, attributes and/or features, a degree to which the new dispatch request is linked to known fraudulent dispatches, and a degree of centrality of the new dispatch request are applied to an ensemble of machine learning models to determine the likelihood that the new dispatch request is fraudulent.
    Type: Application
    Filed: July 17, 2019
    Publication date: January 21, 2021
    Applicant: Dell Products L.P.
    Inventors: Aditya P. Dhekane, Omkar Tungare, Cary P. Decuir