Please use this identifier to cite or link to this item:
https://er.knutd.edu.ua/handle/123456789/18975
Title: | Results of analysis of machine learning practice for training effective model of bankruptcy forecasting in emerging markets |
Authors: | Krasnyuk, Maxim Tkalenko, Antonina Krasniuk, Svitlana |
Keywords: | classical techniques forecasting enterprise |
Issue Date: | Apr-2021 |
Publisher: | List Verlag. in Ullstein Buchverlage GmbH & Europäische Wissenschaftsplattform |
Citation: | Krasnyuk M. Results of analysis of machine learning practice for training effective model of bankruptcy forecasting in emerging markets / M. Krasnyuk, A. Tkalenko, S. Krasniuk // Multidisziplinäre Forschung: Perspektiven, Probleme und Muster der Sammlung wissenschaftlicher Arbeiten "ΛΌГOΣ" zu den Materialien der I internationalen wissenschaftlich-praktischen Konferenz, Wien, Republik Österreich, 9. April, 2021. – Band 1. – Wien-Vinnytsia : List Verlag. in Ullstein Buchverlage GmbH & Europäische Wissenschaftsplattform, 2021. – P. 28-30. |
Abstract: | All still existing classical techniques methods of assessing the financial stability of an enterprise have their own disadvantages and advantages. Therefore, today an important question arises about the development of such a complex multistage methodology of financial analysis and forecasting (hereinafter FAP), which would give a clear idea of the existing financial condition of the enterprise. |
URI: | https://er.knutd.edu.ua/handle/123456789/18975 |
Faculty: | Інститут права та сучасних технологій |
Department: | Кафедра філології та перекладу (ФП) |
Appears in Collections: | Кафедра філології та перекладу (ФП) Матеріали наукових конференцій та семінарів |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Wien_28-30.pdf | 270,92 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.