An application of supervised and unsuper
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Constantinos S. Hilas; Paris As. Mastorocostas
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Article
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2008
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Elsevier Science
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English
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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