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User interface and workflow for performing machine learning

  • US 8,682,814 B2
  • Filed: 03/01/2011
  • Issued: 03/25/2014
  • Est. Priority Date: 12/14/2010
  • Status: Active Grant
First Claim
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1. A method comprising:

  • receiving a training data set that includes a plurality of positive examples of sensitive data and a plurality of negative examples of sensitive data via a user interface;

    analyzing the training data set using machine learning to train a machine learning-based detection (MLD) profile, the MLD profile to be used to classify new data as sensitive data or as non-sensitive data;

    displaying a quality metric for the MLD profile in the user interface; and

    if the quality metric fails to meet a quality threshold, performing the following comprising;

    modifying the training data set in response to user input; and

    analyzing the modified training data set to retain the MLD profile.

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