Patent ID: 8943060
Filing Date: 2015-01-27
Classification: G06F,G06Q

Abstract:
1. A method of digital data processor-based analysis of digital data that represent interactions to identify distinct individuals and/or the entities with which they are affiliated, the method comprising the steps of: A) with a digital data processing system, grouping data representing a plurality of interactions into tentative groups (“data blobs”) based on one or more predesignated attributes, and B) with the digital data processing system, analyzing the digital data to identify and to newly designate, as attributes that are alone and/or in combination with each other and/or the predesignated attributes indicative of distinct individuals and/or the entities with which they are affiliated, one or more other attributes (i) whose quantitative usage among the data blobs does not in fact exceed a first threshold measure, and (ii) which are of a type for which a quantitative measure of reliability does not in fact exceed a second threshold measure in any data blobs in which the one or more other attributes appear, C) with the digital data processing system, re-grouping interactions represented by the digital data into refined groups based on (i) one or more of those newly designated attributes and (ii) zero or more predesignated attributes, D) where the quantitative usage of an attribute among the data blobs is any of a count and an index of a number of data blobs in which that attribute appears, and where the quantitative measure of reliability of the type of a given attribute in a given data blob is a ratio, in that given data blob, of a count of distinct attributes of that type in that blob to a count of distinct combinations of the predesignated attributes in that blob.