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Fraud Detection in Telecommunications: History and Lessons Learned

โœ Scribed by Becker, Richard A.; Volinsky, Chris; Wilks, Allan R.

Book ID
121321769
Publisher
American Statistical Association
Year
2010
Tongue
English
Weight
672 KB
Volume
52
Category
Article
ISSN
0040-1706

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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