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Knowledge discovery in alarm data analysis

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Book cover SOFSEM'96: Theory and Practice of Informatics (SOFSEM 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1175))

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Abstract

In this paper we consider the discovery of knowledge from telecommunication alarm data. We use rough sets theory to analyse the possible dependencies existing among alarm data and express such dependencies as a belief network. The discovered knowledge helps system engineers to understand the overall behaviour of the telecommunication network, to filter some non-critical alarms and to predict possible occurrence of faults in future.

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References

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Authors and Affiliations

  1. Department of Computer Science, University of Wales College Cardiff, Cardiff, UK

    J. Shao

Authors
  1. J. Shao
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Editor information

Keith G. Jeffery Jaroslav Král Miroslav Bartošek

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© 1996 Springer-Verlag Berlin Heidelberg

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Shao, J. (1996). Knowledge discovery in alarm data analysis. In: Jeffery, K.G., Král, J., Bartošek, M. (eds) SOFSEM'96: Theory and Practice of Informatics. SOFSEM 1996. Lecture Notes in Computer Science, vol 1175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0037427

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  • DOI: https://doi.org/10.1007/BFb0037427

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61994-9

  • Online ISBN: 978-3-540-49588-8

  • eBook Packages: Springer Book Archive

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