Managing data processing efficiency, and applications thereof

A non-transitory computer readable medium storing instructions, that when executed by one or more processors, cause the one or more processors to perform operations comprising:

• accessing a data record describing an individual;
• assigning the data record to a predetermined category;
• comparing the categorized data record against other data records stored in a database using a pair-wise function in order to determine whether the categorized data record should be linked, grouped, or modified to mirror the identity described by a separate data record of the other data records;
• entering, into a training system, the categorized data record;
• training the training system using the categorized data record to find further individuals possessing similar demographic data as an individual to which the data record belongs;
• finding the further individuals by accessing further data records of individuals and processing the further data records using the trained training system;
• and
• predicting future behaviors of the further individuals based on an order of similarity between data records of the further individuals and the individual.

A computing system, comprising:

• a memory storing instructions;
• one or more processors, coupled to the memory, configured to process the stored instructions to:
• access a data record describing an individual;
• assign the data record to a predetermined category;
• compare the categorized data record against other data records stored in a database using a pair-wise function in order to determine whether the categorized data record should be linked, grouped, or modified to mirror an identity described by a separate data record of the other data records;
• enter, into a training system, the categorized data record;
• and
• train the training system using the categorized data record to find further individuals possessing similar demographic data as the individual to which the data record belongs;
• find the further individuals by accessing further data records of individuals and processing the further data records using the trained training system;
• predict future behaviors of the further individuals based on an order of similarity between data records of the further individuals and the individual.