An Architecture For Knowledge Discovery In Complex Telecommunication Systems
Price
Free (open access)
Volume
20
Pages
14
Published
1998
Size
251 kb
Paper DOI
10.2495/AI980351
Copyright
WIT Press
Author(s)
R. Sterritt, K. Adamson, C.M. Shapcott & D.A. Bell
Abstract
Applying Artificial Intelligence (A.I.) to complex engineering problems is an increasing trend. The authors have been involved in researching and applying such AI techniques as data mining, induction, genetic algorithms, probabilistic nets, machine learning, to a complex non-deterministic engineering problem in the telecommunications domain. This has been implemented as a Knowledge Discovery architecture (NetExtract) which is generic in nature. 1 Introduction This paper discusses the knowledge discovery architecture developed. First the telecommunications domain is described, followed by an overview of NetExtract and probabilistic nets - which are used to desc
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