Privacy compliant multiple dataset correlation system

Data processing: financial – business practice – management – or co – Automated electrical financial or business practice or... – Discount or incentive

Reexamination Certificate

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C705S001100, C707S793000, C725S009000, C725S014000

Reexamination Certificate

active

07139723

ABSTRACT:
A system and method for using inverse mathematical principles in the analysis of compatible datasets so that correlations and trends within and between said datasets can be uncovered. The present invention is tailored to the analysis of datasets that are extremely large; result from passive, privacy-secure, or anonymous, data collections; and are relatively unbiased. Correlations and trends uncovered by such analysis can be further examined by data mining and prediction portions of the present invention, which uncover and make use of interrelated rules that determine data structures.

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