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Systems and methods for improving computation efficiency in the detection of fraud indicators for loans with multiple applicants

  • US 10,043,213 B2
  • Filed: 11/18/2015
  • Issued: 08/07/2018
  • Est. Priority Date: 07/03/2012
  • Status: Active Grant
First Claim
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1. A computer-implemented method comprising:

  • receiving, from a first information source, applicant data associated with a loan application having a plurality of applicants, wherein the applicant data comprises at least a name, a social security number, and a street address for each of the plurality of applicants;

    querying one or more of a public database and a private database with at least a portion of the applicant data;

    receiving, from a second information source that is independent of the first information source, a plurality of independent information in response to the querying;

    determining, with one or more computer processors in communication with a memory, based at least in part on a comparison of the applicant data with at least a portion of the plurality of independent information, a first validity indication of the applicant data;

    creating, with the one or more computer processors, disambiguated applicant records responsive to the first validity indication by one or more of;

    performing data cleansing on one or more of the applicant data and the plurality of independent information to eliminate one or more name variations; and

    adding metadata record to one or more of the applicant data and the plurality of independent information;

    determining, with the one or more computer processors, relationships among the disambiguated applicant records by one or more of;

    creating a core join data structure with at least a portion of all available disambiguated applicant records;

    splitting the core join data structure into persisted parts; and

    clustering one or more of the persisted parts and the disambiguated applicant records;

    scoring, with the one or more computer processors and based at least in part on the determined relationships among the disambiguated applicant records, at least one parameter of the applicant data;

    determining, with the one or more computer processors, one or more indicators of fraud based on the scoring of the at least one parameter; and

    outputting, for display, one or more indicators of fraud.

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