Anomalies detection in mobile network management data

Marco Anisetti, Claudio A. Ardagna, Valerio Bellandi, Elisa Bernardoni, Ernesto Damiani, Salvatore Reale

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Third generation (3G) mobile networks rely on distributed architectures where Operation and Maintenance Centers handle a large amount of information about network behavior. Such data can be processed to extract higher-level knowledge, useful for network management and optimization. In this paper we apply reduction techniques, such as Principal Component Analysis, to identify orthogonal subspaces representing the more interesting data contributing to overall variance and to split them up in "normal" and "anomalous" subspaces. Patterns within anomalous subspaces allow for early detection of network anomalies, improving mobile networks management and reducing the risk of malfunctioning.

Original languageBritish English
Title of host publicationAdvances in Databases
Subtitle of host publicationConcepts, Systems and Applications - 12th International Conference on Database Systems for Advanced Applications, DASFAA 2007, Proceedings
PublisherSpringer Verlag
Pages943-948
Number of pages6
ISBN (Print)9783540717027
DOIs
StatePublished - 2007
Event12th International Conference on Database Systems for Advanced Applications, DASFAA 2007 - Bangkok, Thailand
Duration: 9 Apr 200712 Apr 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4443 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Database Systems for Advanced Applications, DASFAA 2007
Country/TerritoryThailand
CityBangkok
Period9/04/0712/04/07

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