Details

Autor(en) / Beteiligte

• Olszewski, Dominik
• Kacprzyk, Janusz
• Zadrożny, Sławomir
• Korytkowski, Marcin
• Tadeusiewicz, Ryszard
• Zurada, Jacek M.
• Zadeh, Lotfi A.
• Rutkowski, Leszek
• Scherer, Rafał

Titel

Employing Self-Organizing Map for Fraud Detection

Ist Teil von

• Artificial Intelligence and Soft Computing, p.150-161

Ort / Verlag

Berlin, Heidelberg: Springer Berlin Heidelberg

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• We propose a fraud detection method based on the user accounts visualization and threshold-type detection. The visualization technique employed in our approach is the Self-Organizing Map (SOM). Since the SOM technique in its original form visualizes only the vectors, and the user accounts are represented in our work as the matrices storing a collection of records reflecting the user sequential activities, we propose a method of the matrices visualization on the SOM grid, which constitutes the main contribution of this paper. Furthermore, we propose a method of the detection threshold setting on the basis of the SOM U-matrix. The results of the conducted experimental study on real data in the field of telecommunications fraud detection confirm the advantages and effectiveness of the proposed approach.