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Reducing Computational Complexity During User Data Analysis

  • US 20120214440A1
  • Filed: 11/03/2009
  • Published: 08/23/2012
  • Est. Priority Date: 11/03/2009
  • Status: Active Grant
First Claim
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1. A method of handling data related to users in a telecommunication network to support analysis of said users, the method comprising the following steps:

  • reading sets of parameter values obtained from traffic data of said users, each parameter value set being valid for a particular user and comprising values of two or more user-related parameters;

    determining a first level quantization cell for each read set of parameter values according to a default first level quantization scheme, thereby populating first level quantization cells with users;

    identifying clusters of first level quantization cells populated by users;

    forming an adaptive second level quantization scheme by translating the identified clusters into second level quantization cells; and

    assigning representative parameter values to each second level quantization cell, wherein the representative parameter values are used for analysing the users.

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