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Effective detection of sophisticated online banking fraud on extremely imbalanced data
2012
World wide web (Bussum)
Sophisticated online banking fraud reflects the integrative abuse of resources in social, cyber and physical worlds. Its detection is a typical use case of the broad-based Wisdom Web of Things (W2T) methodology. However, there is very limited information available to distinguish dynamic fraud from genuine customer behavior in such an extremely sparse and imbalanced data environment, which makes the instant and effective detection become more and more important and challenging. In this paper, we
doi:10.1007/s11280-012-0178-0
fatcat:n5mvzx25tjbvdfhmcx4p2yvo4i