Author:
Khripunov P V,Minaev E Y,Protsenko V I,Davydov N S,Nikonorov A V
Abstract
Abstract
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 auto-encoders and the conjugacy indicator. An experimental study of the efficiency of the proposed algorithms was conducted using open-access data set.
Subject
General Physics and Astronomy
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