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Behavioural Proximity Approach for Alarm Correlation in Telecommunication Networks

  • Jacques-H. Bellec
  • M-Tahar Kechadi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4293)

Abstract

In telecommunication networks, alarms are usually useful for identifying faults, and therefore solving them. However, for large systems the number of alarms produced is so large that the current management systems are overloaded. One way of overcoming this problem is to filter and reduce the number of alarms before the faults can be located. In this paper, we describe a new approach for fault recognition and classification in telecommunication networks. We study and evaluate its performance using real-world data collected from 3G telecommunication networks.

Keywords

Attr Stat Telecommunication Network Mining Sequential Pattern Communication Failure Software Failure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jacques-H. Bellec
    • 1
  • M-Tahar Kechadi
    • 1
  1. 1.School of Computer Science & InformaticsUniversity College DublinDublin 4Ireland

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