University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Anomaly detection in telecommunication network performance data

Muthuraman, S and Jiang, J (2007) Anomaly detection in telecommunication network performance data Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007, 2. pp. 433-438.

Full text not available from this repository.


This paper studies the role of anomaly detection in existing telecommunication network performance data for building more intelligent safeguards that support and complement the decisions by the current rule based system. We present an Artificial Intelligent technique, using Radial Basis Function Neural Network and K-Means clustering as a tool for anomaly detection.

Item Type: Article
Divisions : Surrey research (other units)
Authors :
Muthuraman, S
Date : 1 December 2007
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:35
Last Modified : 24 Jan 2020 22:30

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800