Association for Computing Machinery (ACM) - AFRAID: Fraud detection via active inference in time-evolving social networks

2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

Author(s): Veronique Van Vlasselaer ; Tina Eliassi-Rad ; Leman Akoglu ; Monique Snoeck ; Bart Baesens
Publisher: Association for Computing Machinery (ACM)
Publication Date: 1 August 2015
Conference Location: Paris, France
Conference Date: 25 August 2015
Page(s): 659 - 666
ISBN (Electronic): 978-1-4503-3854-7
DOI: 10.1145/2808797.2810058
Regular:

Fraud is a social process that occurs over time. We introduce a new approach, called AFRAID, which utilizes active inference to better detect fraud in time-varying social networks. That is,... View More

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