Systems and methods for detecting entity migration

Abstract

Systems and methods are disclosed herein for detecting entity migration. A method is provided for receiving container information for all known addresses in the United States. The container information can include address records, person or business entities associated with the address records, and temporal information associating the entities with the address records. The method includes determining, with one or more special-purpose computer processors in communication with a memory, migration data based on the container information. The method includes extracting metrics from the migration data. The metrics can include velocity of migration data; simultaneous movement of individuals within a predetermined time period; distance moved; and/or age of the person or business entities. The method can include determining, based at least in part on outliers associated with the metrics, one or more indicators of fraud; and outputting, for display, the one or more indicators of the fraud.

1 . A computer-implemented method, comprising:
 receiving, from two or more sources, container information comprising:
 address records; 
 person or business entities associated with the address records; and 
 temporal information associating the person or business entities with the address records; 
   determining, with one or more special-purpose computer processors in communication with a memory, migration data based on the container information;   determining, with the one or more special-purpose computer processors, one or more indicators of potential fraud a ratio of the number of persons or business entities associated with a single address per square footage of the address; and   outputting, for display, an indicator of potential-fraud when the ratio is greater than a threshold ratio.   
     
     
         2 . The computer-implemented method of  claim 1 , further comprising receiving container information for all known addresses in the United States. 
     
     
         3 . The computer-implemented method of  claim 1 , further comprising disambiguating the container information to verify or correct the container information obtained from the two or more sources; 
     
     
         4 . The computer-implemented method of  claim 1 , further comprising extracting metrics from the migration data, the metrics comprising one or more of:
 velocity of migration data;   simultaneous movement of individuals within a predetermined time period;   distance moved; and   age of the person or business entities.   
     
     
         5 . The computer-implemented method of  claim 4 , wherein extracting metrics from the migration data further comprises extracting activities of the person or business entities related to one or more of: governmental benefits, tax returns, Medicaid, credit abuse, a distance between a current and previous address; and a length of time associated with a previous address. 
     
     
         6 . The computer-implemented method of  claim 4 , further comprising scoring the metrics based on or more of:
 data quality;   anomalous migration;   groups that evidence the greatest connectedness;   events associated with an organization; and   false positive association of person or business entities with fraudulent activity.   
     
     
         7 . The computer-implemented method of  claim 1 , wherein the indicators of potential fraud are related to identity theft fraud. 
     
     
         8 . The computer-implemented method of  claim 1 , wherein determining the one or more indicators of fraud comprises determining one or more of:
 a number of person or business entities associated with a single address being greater than a first threshold number;   a number of person or business entities moving to a single address per time-period being greater than a second threshold number;   an association of person or business entities with an address having known previous criminal activity;   an association of person or business entities with vehicle hoarding;   an association of person or business entities with nominee incorporation services, and   an association of person or business entities with shelf companies.   
     
     
         9 . A system comprising:
 at least one memory for storing data and computer-executable instructions; and   at least one special-purpose processor configured to access the at least one memory and further configured to execute the computer-executable instructions to:
 receive, from two or more sources, container information comprising: 
 address records; 
 person or business entities associated with the address records; and 
 temporal information associating the person or business entities with the address records; 
   determine migration data based on the container information;   determine one or more indicators of potential fraud based on a ratio of the number of persons or business entities associated with a single address per square footage of the address; and   output, for display, an indicator of potential-fraud when the ratio is greater than a threshold ratio.   
     
     
         10 . The system of  claim 9 , wherein the at least one special-purpose processor is further configured to execute the computer-executable instructions to receive container information for all known addresses in the United States. 
     
     
         11 . The system of  claim 9 , wherein the at least one special-purpose processor is further configured to execute the computer-executable instructions to disambiguate the container information to verify or correct the container information obtained from the two or more sources; 
     
     
         12 . The system of  claim 9 , wherein the at least one special-purpose processor is further configured to execute the computer-executable instructions to extract metrics from the migration data, the metrics comprising one or more of:
 velocity of migration data;   simultaneous movement of individuals within a predetermined time period;   distance moved; and   age of the person or business entities.   
     
     
         13 . The system of  claim 12 , wherein extracting metrics from the migration data further comprises extracting activities of the person or business entities related to one or more of: governmental benefits, tax returns, Medicaid, credit abuse, a distance between a current and previous address; and a length of time associated with a previous address. 
     
     
         14 . The system of  claim 12 , wherein the at least one special-purpose processor is further configured to execute the computer-executable instructions to score the metrics based on or more of:
 data quality;   anomalous migration;   groups that evidence the greatest connectedness;   events associated with an organization; and   false positive association of person or business entities with fraudulent activity.   
     
     
         15 . The system of  claim 9 , wherein the one or more indicators of potential fraud are determined based on one or more of:
 a number of person or business entities associated with a single address being greater than a first threshold number;   a number of person or business entities moving to a single address per time-period being greater than a second threshold number;   an association of person or business entities with an address having known previous criminal activity;   an association of person or business entities with vehicle hoarding;   an association of person or business entities with nominee incorporation services, and an association of person or business entities with shelf companies.   
     
     
         16 . A computer-readable media comprising computer-executable instructions that, when executed by one or more processors, configure the one or more processors to perform the method of:
 receiving, from two or more sources, container information comprising:
 address records; 
 person or business entities associated with the address records; and 
 temporal information associating the person or business entities with the address records; 
   determining, with one or more special-purpose computer processors in communication with a memory, migration data based on the container information;   determining, with the one or more special-purpose computer processors, one or more indicators of potential fraud a ratio of the number of persons or business entities associated with a single address per square footage of the address; and   outputting, for display, an indicator of potential-fraud when the ratio is greater than a threshold ratio.   
     
     
         17 . The computer-readable media of  claim 16 , further comprising extracting metrics from the migration data, the metrics comprising one or more of:
 velocity of migration data;   simultaneous movement of individuals within a predetermined time period;   distance moved; and   age of the person or business entities.   
     
     
         18 . The computer-readable media of  claim 17 , wherein extracting metrics from the migration data further comprises extracting activities of the person or business entities related to one or more of: governmental benefits, tax returns, Medicaid, credit abuse, a distance between a current and previous address; and a length of time associated with a previous address. 
     
     
         19 . The computer-readable media of  claim 17 , further comprising scoring the metrics based on or more of:
 data quality;   anomalous migration;   groups that evidence the greatest connectedness;   events associated with an organization; and   false positive association of person or business entities with fraudulent activity.   
     
     
         20 . The computer-readable media of  claim 16 , wherein determining the one or more indicators of fraud comprises determining one or more of:
 a number of person or business entities associated with a single address being greater than a first threshold number;   a number of person or business entities moving to a single address per time-period being greater than a second threshold number;   an association of person or business entities with an address having known previous criminal activity;   an association of person or business entities with vehicle hoarding;   an association of person or business entities with nominee incorporation services, and
 an association of person or business entities with shelf companies.