Parallel Data Mining of Bayesian Networks from Telecommunications Network Data

Authors:
Roy Sterritt;Kenneth Adamson;Mary Shapcott;Edwin P. Curran
Affiliations:
-;-;-;-
Venue:
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
Year:
2000

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Abstract

Global telecommunication systems are built with extensive redundancy and complex management systems to ensure robustness. Fault iden tification and management of this complexity is an open research issue with which data mining can greatly assist.This paper proposes a hybrid data mining architecture and a parallel genetic algorithm (PGA) applied to the mining of Bayesian Belief Networks (BBN) from Telecommunication Management Network (TMN) data.