Patents by Inventor David A. SPINGARN

David A. SPINGARN 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).

  • Multidimensional recursive learning process and system used to discover complex dyadic or multiple counterparty relationships
    Patent number: 10019681
    Abstract: A multidimensional recursive and self-perfecting process used to discover dyadic or multi-counterparty relationships between parties, the process comprising: (a) collecting information from a plurality of data sources; (b) discovering dyadic or multi-counterparty relationships between the parties from the collected information; (c) clustering the parties to infer the dyadic or multi-counterparty relationships between the parties based on common or partially intersecting attributes between the parties, thereby forming clustered parties; (d) evaluating the clustered parties for business linkage potential by integrating the collected information and contextually assessing indicia from the data sources to detect and measure consistency and inconsistency for a given party or dyadic or multi-counterparty relationship; (e) positing and evaluating relationship type and role said party plays in each relationship; and (f) assessing the confidence level regarding the likelihood that the dyadic or multi-counterparty rela
    Type: Grant
    Filed: December 23, 2014
    Date of Patent: July 10, 2018
    Assignee: THE DUN & BRADSTREET CORPORATION
    Inventors: Anthony J. Scriffignano, David A. Spingarn, Barry Rizzolo, Robin Davies, Michael R. Young, Laurie Shimer, John Mark Nicodemo
  • MULTIDIMENSIONAL RECURSIVE LEARNING PROCESS AND SYSTEM USED TO DISCOVER COMPLEX DYADIC OR MULTIPLE COUNTERPARTY RELATIONSHIPS
    Publication number: 20150186807
    Abstract: A multidimensional recursive and self-perfecting process used to discover dyatic or multi-counterparty relationships between parties, the process comprising: (a) collecting information from a plurality of data sources; (b) discovering dyatic or multi-counterparty relationships between the parties from the collected information; (c) clustering the parties to infer the dyatic or multi-counterparty relationships between the parties based on common or partially intersecting attributes between the parties, thereby forming clustered parties; (d) evaluating the clustered parties for business linkage potential by integrating the collected information and contextually assessing indicia from the data sources to detect and measure consistency and inconsistency for a given party or dyatic or multi-counterparty relationship; (e) positing and evaluating relationship type and role said party plays in each relationship; and (f) assessing the confidence level regarding the likelihood that the dyatic or multi-counterparty rela
    Type: Application
    Filed: December 23, 2014
    Publication date: July 2, 2015
    Inventors: Anthony J. SCRIFFIGNANO, David A. SPINGARN, Barry RIZZOLO, Robin DAVIES, Michael R. YOUNG, Laurie SHIMER, John Mark NICODEMO