Apparatus and Method to Increase Accuracy in Individual Attributes Derived from Anonymous Aggregate Data

摘要

An apparatus and method to increase accuracy in individual attributes derived from anonymous aggregate data uses aggregation keys in order to retrieve distribution sets and generate best-effort results for individual attributes. Multiple aggregation keys may be utilized to which individual attributes may be cross-mapped. The aggregation keys may be divided into location-based aggregation keys and name-based aggregation keys. The resulting data may be of varying granularity depending upon the granularity of the aggregation key used for the distribution and to generate the attributes.

主权项

1. A computer-implemented method for deriving individual-level attributes from anonymous aggregate data, comprising the steps of:
a. creating a set of distribution sets with aggregate keys (DSAKs) from at least one source input comprising a plurality of source consumer records; b. training a decision tree to select an appropriate DSAK from the set of DSAKs for enhancement; and c. performing enhancement of an input file comprising a plurality of input consumer records to produce an output file comprising a plurality of enhanced consumer records.