MACHINE LEARNING AS A CORPORATION'S TOOL FOR SELECTION OF SUPPLIERS

In the economics and finance, machine learning methods have spread when solving the problems of consumer behavior research and in currency and securities trading. However, they are poorly developed in dealing with issues related to interaction between enterprises. The article presents the results of...

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Autores principales:	V. V. Baklushinskii, E. V. Pustynnikova
Formato:	article
Lenguaje:	RU
Publicado:	Publishing House of the State University of Management 2019
Materias:	machine learning suppliers’ assessment big data classification economic security corporate management Sociology (General) HM401-1281 Economics as a science HB71-74
Acceso en línea:	https://doaj.org/article/baaf348d376b4be2888fae4fb68a44ad
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spelling	oai:doaj.org-article:baaf348d376b4be2888fae4fb68a44ad2021-12-03T07:43:30ZMACHINE LEARNING AS A CORPORATION'S TOOL FOR SELECTION OF SUPPLIERS1816-42772686-841510.26425/1816-4277-2019-9-48-53https://doaj.org/article/baaf348d376b4be2888fae4fb68a44ad2019-10-01T00:00:00Zhttps://vestnik.guu.ru/jour/article/view/1712https://doaj.org/toc/1816-4277https://doaj.org/toc/2686-8415In the economics and finance, machine learning methods have spread when solving the problems of consumer behavior research and in currency and securities trading. However, they are poorly developed in dealing with issues related to interaction between enterprises. The article presents the results of the compilation and testing of machine learning models, created to assess the reliability of enterprises as suppliers. According to the analysis, carried out in the article, machine learning methods are applicable when conducting supplier evaluations. This article has been written on the theme of expanding the scope of machine learning in the field of analysis of the behavior of commercial enterprises.V. V. BaklushinskiiE. V. PustynnikovaPublishing House of the State University of Managementarticlemachine learningsuppliers’ assessmentbig dataclassificationeconomic securitycorporate managementSociology (General)HM401-1281Economics as a scienceHB71-74RUВестник университета, Vol 0, Iss 9, Pp 48-53 (2019)
institution	DOAJ
collection	DOAJ
language	RU
topic	machine learning suppliers’ assessment big data classification economic security corporate management Sociology (General) HM401-1281 Economics as a science HB71-74
spellingShingle	machine learning suppliers’ assessment big data classification economic security corporate management Sociology (General) HM401-1281 Economics as a science HB71-74 V. V. Baklushinskii E. V. Pustynnikova MACHINE LEARNING AS A CORPORATION'S TOOL FOR SELECTION OF SUPPLIERS
description	In the economics and finance, machine learning methods have spread when solving the problems of consumer behavior research and in currency and securities trading. However, they are poorly developed in dealing with issues related to interaction between enterprises. The article presents the results of the compilation and testing of machine learning models, created to assess the reliability of enterprises as suppliers. According to the analysis, carried out in the article, machine learning methods are applicable when conducting supplier evaluations. This article has been written on the theme of expanding the scope of machine learning in the field of analysis of the behavior of commercial enterprises.
format	article
author	V. V. Baklushinskii E. V. Pustynnikova
author_facet	V. V. Baklushinskii E. V. Pustynnikova
author_sort	V. V. Baklushinskii
title	MACHINE LEARNING AS A CORPORATION'S TOOL FOR SELECTION OF SUPPLIERS
title_short	MACHINE LEARNING AS A CORPORATION'S TOOL FOR SELECTION OF SUPPLIERS
title_full	MACHINE LEARNING AS A CORPORATION'S TOOL FOR SELECTION OF SUPPLIERS
title_fullStr	MACHINE LEARNING AS A CORPORATION'S TOOL FOR SELECTION OF SUPPLIERS
title_full_unstemmed	MACHINE LEARNING AS A CORPORATION'S TOOL FOR SELECTION OF SUPPLIERS
title_sort	machine learning as a corporation's tool for selection of suppliers
publisher	Publishing House of the State University of Management
publishDate	2019
url	https://doaj.org/article/baaf348d376b4be2888fae4fb68a44ad
work_keys_str_mv	AT vvbaklushinskii machinelearningasacorporationstoolforselectionofsuppliers AT evpustynnikova machinelearningasacorporationstoolforselectionofsuppliers
_version_	1718373531895463936

MACHINE LEARNING AS A CORPORATION'S TOOL FOR SELECTION OF SUPPLIERS

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