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2016

Length Matters: Clustering System Log Messages using Length of Words

Shima, Keiichi

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The analysis techniques of system log messages (syslog messages) have a long history from when the syslog mechanism was invented.

Typically, the analysis consists of two parts, one is a message template generation, and the other is finding something interesting using the messages classified by the inferred templates.
It is important to generate better templates to achieve better, precise, or convincible analysis results.
In this paper, we propose a classification methodology using the length of words of each message.

Length Matters: Clustering System Log Messages using Length of Words · Around

Built on

The BSD syslog Protocol
C. Lonvick · 2001
Earlier work this paper cites.
A data clustering algorithm for mining patterns from event logs
R. Vaarandi · 2003
Earlier work this paper cites.
Online Passive-Aggresive Algorithm
K. Crammer, O. Dekel, J. Keshet, S. Shalev-Shwartz, and Y. Singer · 2006
Earlier work this paper cites.
The Syslog Protocol
R. Gerhards · 2009
Earlier work this paper cites.

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