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System and method for data aggregation and analysis

  • US 10,146,954 B1
  • Filed: 07/31/2017
  • Issued: 12/04/2018
  • Est. Priority Date: 06/11/2012
  • Status: Active Grant
First Claim
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1. A method comprising:

  • on a computer system comprising at least one server computer, managing and controlling a plurality of data-access credentials;

    accessing, by the computer system, data from a plurality of sources in a plurality of data formats, the plurality of sources comprising sources that are internal to the computer system and sources that are external to the computer system;

    wherein the accessing comprises using one or more data-access credentials of the plurality of data-access credentials, the one or more data-access credentials being associated with at least a portion of the plurality of data sources;

    abstracting, by the computer system, the data into a standardized format for further analysis, the abstracting comprising selecting the standardized format based on a type of the data;

    applying, by the computer the system, a security policy to the data;

    wherein the applying comprises identifying at least a portion of the data for exclusion from storage based on the security policy;

    the computer system filtering from storage any data identified for exclusion;

    classifying the data based on one or more characteristics of metadata associated with the data;

    wherein the classifying comprises performing one or more probabilistic algorithms to determine a probability that a set of data comprises a particular classification based on a combination of probabilistic determinations associated with subsets of the set of data, parameters and metadata associated with the set of data;

    storing, by the computer system, the filtered data in the standardized format;

    modifying the one or more probabilistic algorithms based, at least in part, on a determined accuracy of previously classified data; and

    responsive to the modification, reclassifying the classified data using the modified one or more probabilistic algorithms.

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