SHS Web Conf.
Volume 106, 2021III International Scientific and Practical Conference “Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth” (MTDE 2021)
|Number of page(s)||9|
|Section||Digital Technologies in Socio-Economic Systems Management|
|Published online||18 May 2021|
Development of a methodology for detecting fraud with bank loans for legal entities
Plekhanov Russian University of Economics, 117997 Moscow, Russia
* Corresponding author: firstname.lastname@example.org
This work is devoted to the development of highly efficient tools for making decisions by banking structures to issue and maintain a loan. The developed methodology is intended to support banking services for lending to legal entities. The paper presents the results of a comprehensive analysis of existing methods that can be used to identify scammers, the results of the analysis of data types for solving this problem and ranking them in terms of efficiency. A methodology for building algorithms for searching for scammers is proposed and the application of an algorithm for graph analysis of legal entity relationships for detecting fraud is demonstrated.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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