A method of rule induction for predicting and describing future alarms in a telecommunication network

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Wrench, C., Stahl, F. orcid id iconORCID: https://orcid.org/0000-0002-4860-0203, Le, T., Di Fatta, G., Karthikeyan, V. and Nauck, D. (2016) A method of rule induction for predicting and describing future alarms in a telecommunication network. In: Thirty-sixth SGAI International Conference on Artificial Intelligence, 13-15 December 2016, Cambridge, UK, pp. 309-323.

Abstract/Summary

In order to gain insights into events and issues that may cause alarms in parts of IP networks, intelligent methods that capture and express causal relationships are needed. Methods that are predictive and descriptive are rare and those that do predict are often limited to using a single feature from a vast data set. This paper follows the progression of a Rule Induction Algorithm that produces rules with strong causal links that are both descriptive and predict events ahead of time. The algorithm is based on an information theoretic approach to extract rules comprising of a conjunction of network events that are significant prior to network alarms. An empirical evaluation of the algorithm is provided.

Additional Information ISBN 9783319471747
Item Type Conference or Workshop Item (Paper)
URI https://reading-clone.eprints-hosting.org/id/eprint/68359
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
Additional Information ISBN 9783319471747
Publisher Springer International Publishing
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