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Fault detection and isolation in an unsupervised learning environment

โœ Scribed by Arvind Srinivasan; Celal Batur


Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
506 KB
Volume
15
Category
Article
ISSN
0167-8655

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This paper investigates the usefulness of applying different learning approaches to a problem of telecommunications fraud detection. Five different user models are compared by means of both supervised and unsupervised learning techniques, namely the multilayer perceptron and the hierarchical agglome