Fraud Detection from a Business Perspective: Future Directions and Challenges

2008/01/01 by Ulrich Flegel, Flegel, Ulrich, Julien Vayssière +3
Computer Science · #Imbalanced Data Classification Techniques #Anomaly Detection Techniques and Applications

paper · doi:10.4230/dagsemproc.08302.4

Abstract

This contribution summarizes the state of the art of fraud detection in practice and shows the relations between the technology for fraud detection and intrusion detection. We identify prospective directions for further investigation and imminent challenges.

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