Results of analysis of machine learning practice for training effective model of bankruptcy forecasting in emerging markets
dc.contributor.author | Krasniuk, Maksym | |
dc.contributor.author | Краснюк, Максим Тарасович | |
dc.contributor.author | Tkalenko, Antonina | |
dc.contributor.author | Krasniuk, Svitlana | |
dc.date.accessioned | 2025-05-21T11:01:35Z | |
dc.date.available | 2025-05-21T11:01:35Z | |
dc.date.issued | 2021-04-09 | |
dc.identifier.citation | Krasnyuk M. Results of analysis of machine learning practice for training effective model of bankruptcy forecasting in emerging markets / Maxim Krasnyuk, Antonina Tkalenko, Svitlana Krasniuk // Multidisziplinäre Forschung: Perspektiven, Probleme und Muster : der Sammlung wissenschaftlicher Arbeiten «ΛΌГOΣ» zu den materialien der I internationalen wissenschaftlich-praktischen Konferenz, Wien, Republik Österreich, April 9, 2021 : in 3 b. / [org. com.: Holdenblat M. (vorsitzender)]. – Wien : List Verlag. in Ullstein Buchverlage GmbH ; Vinnytsia : Europäische Wissenschaftsplattform, 2021. – B. 1. – P. 28–30. | |
dc.identifier.doi | https://doi.org/10.36074/logos-09.04.2021.v1.07 | |
dc.identifier.uri | https://ir.kneu.edu.ua/handle/2010/50392 | |
dc.language.iso | en | |
dc.publisher | European Scientific Platform | |
dc.title | Results of analysis of machine learning practice for training effective model of bankruptcy forecasting in emerging markets | |
dc.type | Article |