Temporal classification for fault-prediction in a real-world telecommunications network

Jaudet, Mohammad; Iqbal, Naeem; Hussain, Amir; Sharif, Kamran

Abstract

This paper presents a new temporal classification approach for fault-prediction in a Telecommunications Network. The countrywide data network of Pakistan Telecom (PTCL) has been selected as a basis for the investigation of classification algorithms to predict faults before they stop a large number of users' circuits from normal operation. The main problems addressed are the evaluation of alarms and development of new machine learning tools to help overcome the interoperability issues. The motivation behind this work is to assist human operators and minimize the cost of the alarm evaluation process.

Citation

Jaudet, M., Iqbal, N., Hussain, A., & Sharif, K. (2005, September). Temporal classification for fault-prediction in a real-world telecommunications network. Presented at IEEE 2005 International Conference on Emerging Technologies, Islamabad, Pakistan

• Presentation Conference Type: Conference Paper (published)
• Conference Name: IEEE 2005 International Conference on Emerging Technologies
• Start Date: Sep 17, 2005
• End Date: Sep 18, 2005
• Online Publication Date: Dec 19, 2005
• Publication Date: 2005
• Deposit Date: Oct 17, 2019
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 209-214
• Book Title: Proceedings of the IEEE Symposium on Emerging Technologies, 2005
• ISBN: 0-7803-9247-7
• DOI: https://doi.org/10.1109/ICET.2005.1558882
• Keywords: Network Management, Classification, Prediction and Decision Tree Induction
• Public URL: http://researchrepository.napier.ac.uk/Output/1793694