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AUTOMATIC ANALYSIS OF LOG ENTRIES THROUGH USE OF CLUSTERING

  • US 20120173466A1
  • Filed: 03/12/2012
  • Published: 07/05/2012
  • Est. Priority Date: 12/02/2009
  • Status: Active Grant
First Claim
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1. A method in a computerized environment, said method comprising:

  • obtaining a training set of log entries, wherein the log entries describing an operation of a system, wherein the log entries comprise at least one log entry which is indicative of a non-erroneous operation of the system;

    automatically determining an approximated matching function between a log entry and an at least one cluster based on the training set of the log entries, wherein said automatically determining the approximated matching function is performed using a machine learning process;

    obtaining a set of log entries describing operation of the system;

    associating the set of log entries with the at least one cluster, based on the approximated matching function; and

    providing an indication referring to the at least one cluster associated with the first portion of the log entries and the second portion of the log entries.

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