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Detecting online auction shilling frauds using supervised learning

โœ Scribed by Tsang, Sidney; Koh, Yun Sing; Dobbie, Gillian; Alam, Shafiq

Book ID
122811015
Publisher
Elsevier Science
Year
2014
Tongue
English
Weight
906 KB
Volume
41
Category
Article
ISSN
0957-4174

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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