๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

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

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


An application of supervised and unsuper
โœ Constantinos S. Hilas; Paris As. Mastorocostas ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 268 KB

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