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STATISTICAL MEASURE AND CALIBRATION OF REFLEXIVE, SYMMETRIC AND TRANSITIVE FUZZY SEARCH CRITERIA WHERE ONE OR BOTH OF THE SEARCH CRITERIA AND DATABASE IS INCOMPLETE

  • US 20100005091A1
  • Filed: 07/02/2009
  • Published: 01/07/2010
  • Est. Priority Date: 07/02/2008
  • Status: Active Grant
First Claim
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1. A method of identifying, using a search criteria, an entity representation in an electronic universal database that corresponds to an entity representation in an electronic foreign database, each database comprising a plurality of entity representations, each entity representation comprising a plurality of linked records, each record comprising a plurality of fields, each field capable of containing a field value, each field value associated with a field value weight, wherein the search criteria comprises at least one field value that is not identical to a field value in a record in an entity representation that is identified by the method, the method comprising:

  • selecting a field;

    applying a symmetric, reflexive and transitive function to each field value in the selected field of each of a plurality of records, whereby a plurality of field value codes are generated, and whereby applying the symmetric, reflexive and transitive function to each field value in the selected field of each of a plurality of records in the database defines a partition of the plurality of records;

    populating a field of each of the plurality of records with a field value code;

    computing a field value weight for each field value code;

    distributing, for each record, a field value weight associated with a field value in the selected field, among the field value in the selected field and a field value code;

    receiving a plurality of search criteria field values;

    determining a highest ranked entity representation according to summed field value weights for field values matching the plurality of search criteria field values;

    calculating a confidence level reflecting a likelihood that the highest ranked entity representation corresponds to the plurality of search criteria field values; and

    outputting, if the confidence level exceeds a predetermined threshold, an identifier for the highest ranked entity representation.

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