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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/339986
Title: Assessing contractor connections based on big data sets
Authors: Rahel, D. M.
Keywords: ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Экономика и экономические науки
ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика
Issue Date: 2025
Publisher: Minsk : BSU
Citation: Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIV Intern. Conf., Minsk, Sept. 24–27, 2025 / Belarusian State Univ. ; eds.: Yu. Kharin (ed.-in-chief) [et al.]. – Minsk : BSU, 2025. – Pp. 218-221.
Abstract: When assessing the risk of transactions, companies or financial and credit organizations have a question about the specifics of this procedure in relation to interconnected companies that are part of a conglomerate or have any obligations to other market participants. We considering a problem of assessing contractor connections using big data sets
URI: https://elib.bsu.by/handle/123456789/339986
ISBN: 978-985-881-830-2
Licence: info:eu-repo/semantics/restrictedAccess
Appears in Collections:2025. Computer Data Analysis and Modeling: Stochastics and Data Science

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