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Enhanced data collection and analysis facility

  • US 10,389,828 B2
  • Filed: 04/28/2017
  • Issued: 08/20/2019
  • Est. Priority Date: 04/28/2017
  • Status: Active Grant
First Claim
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1. A computer-implemented method for generating a classification model to determine predictive user behavior, the method comprising:

  • obtaining data from a mobile network provider, the data including a plurality of utilization metrics pertaining to a plurality of mobile devices carrying out a plurality of network interactions, the plurality of mobile devices being associated with a plurality of users;

    categorizing the data into a plurality of Internet domains comprising Internet Protocol (IP) resources associated with the data, wherein the data is categorized according to particular categories of the IP resources in which the data pertains, and wherein the IP resources include two or more of a web-site or a web-based service;

    determining a plurality of patterns in the data, the plurality of patterns being used to correlate a first category represented in the data with at least a portion of the plurality of Internet domains;

    determining an additional pattern in the data, the additional pattern correlating a second category represented in the data with at least a portion of the plurality of Internet domains; and

    generating a plurality of rules based on the plurality of patterns and the additional pattern.

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