| Paper title: |
Analyzing Log Files using Data-Mining |
| Published in: | Issue 2, (Vol. 2) / 2008 |
| Pages: | 32-34 |
| Author(s): | Mihut Marius |
| Abstract. | Information systems (i.e. servers, applications and communication devices) create a large amount of monitoring data that are saved as log files. For analyzing them, a data-mining approach is helpful. This article presents the steps which are necessary for creating an 'analyzing instrument', based on an open source software called Waikato Environment for Knowledge Analysis (Weka) [1]. For exemplification, a system log file created by a Windows-based operating system, is used as input file. |
| Keywords: | Data-mining, Log Analyzing, Log Files, Weka |
| References: | 1. Ian H. Witten and Eibe Frank, Data Mining: Practical machine learning tools and techniques, 2nd Edition, Morgan Kaufmann, San Francisco, 2005. 2. http://msdn.microsoft.com/en-us/ library/ms175595. aspx. 3. http://www.cs.waikato.ac.nz/ml/weka/ |
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