Patents by Inventor Krishna M. Gopinathan

Krishna M. Gopinathan 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).

  • SYSTEMS AND METHODS FOR MANAGEMENT OF CREDIT GROUPS
    Publication number: 20120109723
    Abstract: A group management system for managing credit transactions for groups of lenders, borrowers, and/or referencers is described. The system allows the formation of credit groups comprised of one or more of lenders, borrowers, and/or referencers. The system monitors group performance and provides rewards and incentives when milestones are reached. When the group is underperforming, the system allows modification of group paramaters to improve performance. In one embodiment, the system tracks group metrics and provides information to aid in achieving an optimal group configuration.
    Type: Application
    Filed: October 14, 2011
    Publication date: May 3, 2012
    Inventors: Theodore James Crooks, Louis Steven Biafore, Michael A. Thiemann, Krishna M. Gopinathan
  • Method and apparatus for making predictions about entities represented in documents
    Patent number: 6728695
    Abstract: A method and apparatus is disclosed for making predictions about entities represented in documents and for information analysis of text documents or the like, from a large number of such documents. Predictive models are executed responsive to variables derived from canonical documents to determine documents containing desired attributes or characteristics. The canonical documents are derived from standardized documents, which, in turn, are derived from original documents.
    Type: Grant
    Filed: May 26, 2000
    Date of Patent: April 27, 2004
    Assignee: Burning Glass Technologies, LLC
    Inventors: Anu K. Pathria, Krishna M. Gopinathan, Theodore J. Crooks, Edmond D. Chow, Mark A. Laffoon, Dayne B. Freitag
  • Risk determination and management using predictive modeling and transaction profiles for individual transacting entities
    Patent number: 6330546
    Abstract: An automated system and method detects fraudulent transactions using a predictive model such as a neural network to evaluate individual customer accounts and identify potentially fraudulent transactions based on learned relationships among known variables. The system may also output reason codes indicating relative contributions of various variables to a particular result. The system periodically monitors its performance and redevelops the model when performance drops below a predetermined level.
    Type: Grant
    Filed: October 5, 1998
    Date of Patent: December 11, 2001
    Assignee: HNC Software, Inc.
    Inventors: Krishna M. Gopinathan, Allen Jost, Louis S. Biafore, William M. Ferguson, Michael A. Lazarus, Anu K. Pathria
  • Fraud detection using predictive modeling
    Patent number: 5819226
    Abstract: An automated system and method detects fraudulent transactions using a predictive model such as a neural network to evaluate individual customer accounts and identify potentially fraudulent transactions based on learned relationships among known variables. The system may also output reason codes indicating relative contributions of various variables to a particular result. The system periodically monitors its performance and redevelops the model when performance drops below a predetermined level.
    Type: Grant
    Filed: September 8, 1992
    Date of Patent: October 6, 1998
    Assignee: HNC Software Inc.
    Inventors: Krishna M. Gopinathan, Louis S. Biafore, William M. Ferguson, Michael A. Lazarus, Anu K. Pathria, Allen Jost