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

Mohammad Jaudet; Naeem Iqbal; Amir Hussain; Kamran Sharif

doi:10.1109/ICET.2005.1558882

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

Mohammad Jaudet^*
, Naeem Iqbal
, Amir Hussain
, Kamran Sharif

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

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.

Original language	English
Title of host publication	Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006
Pages	209-214
Number of pages	6
DOIs	https://doi.org/10.1109/ICET.2005.1558882
State	Published - 2005
Externally published	Yes
Event	IEEE 2005 International Conference on Emerging Technologies, ICET 2005 - Islamabad, Pakistan Duration: 17 Sep 2005 → 18 Sep 2005

Publication series

Name	Proceedings - IEEE 2005 International Conference on Emerging Technologies, ICET 2005
Volume	2005

Conference

Conference	IEEE 2005 International Conference on Emerging Technologies, ICET 2005
Country/Territory	Pakistan
City	Islamabad
Period	17/09/05 → 18/09/05

Keywords

Classification
Network management
Prediction and decision tree induction

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/ICET.2005.1558882

Cite this

Jaudet, M., Iqbal, N., Hussain, A., & Sharif, K. (2005). Temporal classification for fault-prediction in a real-world telecommunications network. In Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006 (pp. 209-214). Article 1558882 (Proceedings - IEEE 2005 International Conference on Emerging Technologies, ICET 2005; Vol. 2005). https://doi.org/10.1109/ICET.2005.1558882

@inproceedings{4d216d6be64a4284bd90168dc95c5482,

title = "Temporal classification for fault-prediction in a real-world telecommunications network",

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.",

keywords = "Classification, Network management, Prediction and decision tree induction",

author = "Mohammad Jaudet and Naeem Iqbal and Amir Hussain and Kamran Sharif",

year = "2005",

doi = "10.1109/ICET.2005.1558882",

language = "English",

isbn = "0780392477",

series = "Proceedings - IEEE 2005 International Conference on Emerging Technologies, ICET 2005",

pages = "209--214",

booktitle = "Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006",

note = "IEEE 2005 International Conference on Emerging Technologies, ICET 2005 ; Conference date: 17-09-2005 Through 18-09-2005",

}

Jaudet, M, Iqbal, N, Hussain, A & Sharif, K 2005, Temporal classification for fault-prediction in a real-world telecommunications network. in Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006., 1558882, Proceedings - IEEE 2005 International Conference on Emerging Technologies, ICET 2005, vol. 2005, pp. 209-214, IEEE 2005 International Conference on Emerging Technologies, ICET 2005, Islamabad, Pakistan, 17/09/05. https://doi.org/10.1109/ICET.2005.1558882

Temporal classification for fault-prediction in a real-world telecommunications network. / Jaudet, Mohammad; Iqbal, Naeem; Hussain, Amir et al.
Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006. 2005. p. 209-214 1558882 (Proceedings - IEEE 2005 International Conference on Emerging Technologies, ICET 2005; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Temporal classification for fault-prediction in a real-world telecommunications network

AU - Jaudet, Mohammad

AU - Iqbal, Naeem

AU - Hussain, Amir

AU - Sharif, Kamran

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Classification

KW - Network management

KW - Prediction and decision tree induction

UR - https://www.scopus.com/pages/publications/33845343238

U2 - 10.1109/ICET.2005.1558882

DO - 10.1109/ICET.2005.1558882

M3 - Conference contribution

AN - SCOPUS:33845343238

SN - 0780392477

SN - 9780780392472

T3 - Proceedings - IEEE 2005 International Conference on Emerging Technologies, ICET 2005

SP - 209

EP - 214

BT - Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006

T2 - IEEE 2005 International Conference on Emerging Technologies, ICET 2005

Y2 - 17 September 2005 through 18 September 2005

ER -

Jaudet M, Iqbal N, Hussain A, Sharif K. Temporal classification for fault-prediction in a real-world telecommunications network. In Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006. 2005. p. 209-214. 1558882. (Proceedings - IEEE 2005 International Conference on Emerging Technologies, ICET 2005). doi: 10.1109/ICET.2005.1558882

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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