Mining of an Alarm Log to Improve the Discovery of Frequent Patterns 1st Edition by Françoise Fessant, Fabrice Clérot, Christophe Dousson 9783540240549

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ISBN 13: 9783540240549

Author: Françoise Fessant, Fabrice Clérot; Christophe Dousson

In this paper we propose a method to pre-process a telecommunication alarm log with the aim of discovering more accurately frequent patterns. In a first step, the alarm types which present the same temporal behavior are clustered with a self organizing map. Then, the log areas which are rich in alarms of the clusters are searched. The sublogs are built based on the selected areas. We will show the efficiency of our preprocessing method through experiments on an actual alarm log from an ATM network.

Mining of an Alarm Log to Improve the Discovery of Frequent Patterns 1st Table of contents:

1 Introduction 
2 Data description and representation 
3 Clustering of the cumulative profiles with a self-organizing map 
4 Sublogs construction

5 Experimental results 

6 Conclusion 

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