Efficient risk model computations

A method, comprising:

• accessing, by a service provider server of a service provider, a database storing a set of database entries, each database entry of the set of database entries storing an association between a network address and a coordinate location corresponding to the network address;
• determining a first subset of the set of database entries by filtering out database entries of the database that store network addresses that correspond to cellular data connections;
• identifying a first network address for which a second subset of the set of database entries includes associations between the first network address and different coordinate locations corresponding to the first network address, the second subset being a subset of the first subset;
• determining a cluster density corresponding to the different coordinate locations in the second subset based on determining a maximum distance of the different coordinate locations from a centroid of the different coordinate locations;
• in response to (1) determining that a number of database entries in the second subset is greater or equal to a predetermined number and (2) determining that the cluster density is greater than or equal to a predetermined density, calculating a new coordinate location corresponding to the first network address based on averaging latitude and longitude components of the different coordinate locations;
• and
• adding a new database entry to a second database, the new database entry storing an association between the first network address and the new coordinate location.

A non-transitory computer readable medium storing computer-executable instructions that in response to execution by one or more hardware processors, causes a service provider system to perform operations comprising:

• accessing, by a service provider server of a service provider, a database storing a set of database entries, each database entry of the set of database entries storing an association between a network address and a coordinate location corresponding to the network address;
• determining a first subset of the set of database entries by filtering out database entries of the database that store network addresses that correspond to cellular data connections;
• identifying a first network address for which a second subset of the set of database entries includes associations between the first network address and different coordinate locations corresponding to the first network address, the second subset being a subset of the first subset;
• determining a cluster density corresponding to the different coordinate locations in the second subset based on determining a maximum distance of the different coordinate locations from a centroid of the different coordinate locations;
• in response to (1) determining that a number of database entries in the second subset is greater or equal to a predetermined number and (2) determining that the cluster density is greater than or equal to a predetermined density, calculating a new coordinate location corresponding to the first network address based on averaging latitude and longitude components of the different coordinate locations;
• and
• adding a new database entry to a second database, the new database entry storing an association between the first network address and the new coordinate location.