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Log clustering by detecting the similarity between two logs.

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logclustering-py

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Log clustering by detecting the similarity (editing distance) between two logs.

This is part of my master thesis project and still in development.

Requirements

  • Python 2.7
  • NumPy: The fundamental package needed for scientific computing with Python.
  • editdistance: Fast implementation of the edit distance(Levenshtein distance) in C++ and CPython.
  • python-dateutil: Useful extensions to the standard Python datetime features.

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Log clustering by detecting the similarity between two logs.

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