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 Net w ork (TMN) data. ?© 2000 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Sterritt, R., Adamson, K., Shapcott, C. M., & Curran, E. P. (2000). Parallel data mining of bayesian networks from telecommunications network data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1800 LNCS, pp. 415–422). Springer Verlag. https://doi.org/10.1007/3-540-45591-4_54
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