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DISCOVERY OF UNUSUAL, UNEXPECTED, OR ANOMALOUS INFORMATION AND TRENDS IN HIGH THROUGHPUT DATA STREAMS AND DATABASES USING PROBABILITSTIC SURPRISAL CONTEXT FILTERS

  • US 20140358948A1
  • Filed: 05/28/2013
  • Published: 12/04/2014
  • Est. Priority Date: 05/28/2013
  • Status: Abandoned Application
First Claim
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1. A method for detecting anomalous events from a data input comprising a plurality of events, comprising the steps of:

  • a computer selecting at least one filter selecting for context data determined to be probabilistically present within a specified degree of certainty in the data input;

    the computer comparing the data input to the selected at least one filter;

    the computer discarding the events from the data input that are the same as the context data for which the at least one filter selects; and

    the computer storing in a repository the events remaining in the data input as anomalous events.

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