Anomalies detection in social services data in the sphere of digital economy

• Published in: Journal of physics. Conference series Vol. 1368; no. 5; pp. 52045 - 52050
• Main Authors: Khripunov, P V, Minaev, E Y, Protsenko, V I, Davydov, N S, Nikonorov, A V
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.11.2019
• Subjects: Algorithms; Anomalies; Coders; Digital economy; Fraud; Physics; Social services

This article addresses the study of the anomaly and fraud detection problem in the data from social services. The problem of detecting anomalies is extremely relevant for data-driven processes in the digital economy. In this paper, we propose a two-step approach for the detection of anomalies using...