Computer system of computer servers and dedicated computer clients specially programmed to generate synthetic non-reversible electronic data records based on real-time electronic querying and methods of use thereof

Abstract

In some embodiments, the present invention provides for an exemplary computer system which includes at least: a graphical user interface client; a dedicated application server; the dedicated application server is configured to connect to the graphical user interface client and an electronic source with electronic data records; where the electronic data records include real identification identifiers of real individuals; where the graphical user interface client is configured to generate at a graphical user interface that is configured to receive user authenticating credential information and to conduct a real-time electronic negotiation querying session between the user and the dedicated application server to generate a plurality of non-reversible synthetic electronic data records of a plurality of synthetic individuals, by utilizing at least one statistical technique so that the plurality of non-reversible synthetic electronic data records cannot be used to identify any real individual in the plurality of electronic data records.

What is claimed is: 
     
         1 . A computer system, comprising:
 at least one processor;
 wherein, when executing instructions, the at least one processor is configured to:
 receive at least one electronic query from a first user, wherein the at least one electronic query comprises:
 a) each of: 
  a plurality of personal event data parameters of at least one personal event, and 
  at least one demographic identifier, 
  wherein the at least one demographic identified is selectable from a plurality of demographic identifiers, and 
 b) a plurality of reference event data parameters of at least one reference event 
 
 identify, in response to the at least one electronic query, a matched subset of matched data records for a number of real individuals from a plurality of electronic data records stored in at least one electronic source, based at least in part on:
 a) the at least one personal event, and 
 b) the at least one reference event; 
  wherein the plurality of electronic data records comprises real identification identifiers of real individuals; and 
 
 generate, based at least in part on the matched subset, a plurality of non-reversible synthetic electronic data records of a plurality of synthetic individuals by at least one of:
 self-recalculation of discrete values of the matched subset, and 
 self-transformation of categorical values of the matched subset; and 
 
 output the plurality of non-reversible synthetic electronic data records. 
 
   
     
     
         2 . The computer system of  claim 1 , wherein the at least one processor is configured to electronically output, for the first user, the plurality of non-reversible synthetic electronic data records. 
     
     
         3 . The computer system of  claim 1 , wherein the at least one processor is configured to electronically output, for a second user different from the first user, the plurality of non-reversible synthetic electronic data records. 
     
     
         4 . The computer system of  claim 1 , wherein the plurality of non-reversible synthetic electronic data records of the plurality of synthetic individuals:
 a) are statistically representative of the matched subset,   b) have at least one synthetic identification identifier corresponding to at least one real identification identifier of a real individual from the matched subset, and   c) cannot be utilized to identify any real individual from the matched subset.   
     
     
         5 . The computer system of  claim 1 , wherein the at least one processor is configured to receive with a first processor, and
 wherein the at least one processor is configured to generate with a second processor different from the first processor.   
     
     
         6 . A computer system, comprising:
 at least one processor;
 wherein, when executing instructions, the at least one processor is configured to:
 receive at least one electronic query from a first user, wherein the at least one electronic query comprises:
 a) each of: 
  a plurality of personal event data parameters of at least one personal event, and 
  at least one demographic identifier, 
  wherein the at least one demographic identified is selectable from a plurality of demographic identifiers, and 
 b) a plurality of reference event data parameters of at least one reference event 
 
 identify, in response to the at least one electronic query, a matched subset of matched data records for a number of real individuals from a plurality of electronic data records stored in at least one electronic source, based at least in part on:
 a) the at least one personal event, and 
 b) the at least one reference event; 
  wherein the plurality of electronic data records comprises real identification identifiers of real individuals; and 
 
 generate, based at least in part on the matched subset, a plurality of non-reversible synthetic electronic data records of a plurality of synthetic individuals by at least one of: 
 self-recalculation of discrete values of the matched subset, and 
 self-transformation of categorical values of the matched subset, and output the plurality of non-reversible synthetic electronic data records. 
 
   
     
     
         11 . A method, comprising:
 receiving, with at least one processor, at least one electronic query from a first user, wherein the at least one electronic query comprises:
 a) each of:
 a plurality of personal event data parameters of at least one personal event, and at least one demographic identifier,
 wherein the at least one demographic identified is selectable from a plurality of demographic identifiers, and 
 
 
 b) a plurality of reference event data parameters of at least one reference event, 
   identifying, with the at least one processor, in response to the at least one electronic query, a matched subset of matched data records for a number of real individuals from a plurality of electronic data records stored in at least one electronic source, based at least in part on:
 a) the at least one personal event, and 
 b) the at least one reference event;
 wherein the plurality of electronic data records comprises real identification identifiers of real individuals; and 
 
   generating, with the at least one processor, based at least in part on the matched subset, a plurality of non-reversible synthetic electronic data records of a plurality of synthetic individuals by at least one of:
 self-recalculation of discrete values of the matched subset, and 
 self-transformation of categorical values of the matched subset; and 
   outputting the plurality of non-reversible synthetic electronic data records.   
     
     
         12 . The method of  claim 11 , wherein outputting comprises electronically outputting, for the first user, the plurality of non-reversible synthetic electronic data records. 
     
     
         13 . The method of  claim 11 , wherein outputting comprises electronically outputting, for a second user different from the first user, the plurality of non-reversible synthetic electronic data records. 
     
     
         14 . The method of  claim 11 , wherein the plurality of non-reversible synthetic electronic data records of the plurality of synthetic individuals:
 a) are statistically representative of the matched subset,   b) have at least one synthetic identification identifier corresponding to at least one real identification identifier of a real individual from the matched subset, and   c) cannot be utilized to identify any real individual from the matched subset.   
     
     
         15 . The method of  claim 11 , wherein receiving comprises receiving with a first processor, and wherein generating comprises generating with a second processor different from the first processor.