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Data transformation of performance statistics and ticket information for network devices for use in machine learning models

  • US 10,693,740 B2
  • Filed: 12/07/2017
  • Issued: 06/23/2020
  • Est. Priority Date: 12/07/2017
  • Status: Active Grant
First Claim
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1. A device, comprising:

  • one or more memories; and

    one or more processors communicatively coupled to the one or more memories to;

    obtain historical network data associated with a set of network devices,the historical network data being associated with a first set of values that are in a format capable of being processed by one or more data models, andthe historical network data including at least one of;

    historical network ticket information, orhistorical performance statistics relating to the set of network devices;

    determine a set of historical network performance indicators for one or more groups of network devices, of the set of network devices, by analyzing the historical network data;

    train the one or more data models based on the set of historical network performance indicators;

    receive, after training the one or more data models, new network data for one or more network devices of the set of network devices,the new network data being received periodically over an interval and including at least one of;

    network ticket information, orperformance statistics relating to the one or more network devices;

    determine a set of other network performance indicators that are associated with the one or more network devices, of the set of network devices, by analyzing the new network data;

    convert the set of other network performance indicators into a second set of values that are in the format capable of being processed by the one or more data models,wherein the one or more processors, when converting the set of other network performance indicators into the second set of values, are to;

    execute a data mining technique to identify, by analyzing information associated with a set of data sources, a set of threshold ranges of values, 

    the set of threshold ranges of values being associated with a network performance indicator of the set of other network performance indicators;

    compare the network performance indicator, of the set of other network performance indicators, to the set of threshold ranges of values; and

    convert the network performance indicator to a value included in the second set of values based on a particular threshold range of values, of the set of threshold ranges of values, with which the network performance indicator is associated;

    generate, based on the set of other network performance indicators and the one or more data models, one or more recommendations associated with improving network performance; and

    perform, based on the one or more recommendations, one or more actions associated with improving network performance.

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