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

Wrench, C., Stahl, F., 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.

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Official URL: http://dx.doi.org/10.1007/978-3-319-47175-4_23

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.

Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:68359
Additional Information:ISBN 9783319471747
Publisher:Springer International Publishing

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