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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 218-221.pdf | 323,92 kB | Adobe PDF | View/Open |
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