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Please use this identifier to cite or link to this item: http://ds.knu.edu.ua/jspui/handle/123456789/3071
Title: Machine learning of emerging markets in pandemic times
Authors: Kiv, Arnold
Hryhoruk, Pavlo
Khvostina, Inesa
Solovieva, Victoria
Soloviev, Vladimir
Semerikov, Serhii
Семеріков, Сергій Олексійович
Семериков, Сергей Алексеевич
Keywords: machine learning
prediction of emergent economy dynamics
COVID-19
Issue Date: 2020
Publisher: CEUR Workshop Proceedings
Citation: Machine learning of emerging markets in pandemic times [Electronic resource] / Arnold Kiv, Pavlo Hryhoruk, Inesa Khvostina, Victoria Solovieva, Vladimir Soloviev, Serhiy Semerikov // Machine Learning for Prediction of Emergent Economy Dynamics 2020 : proceedings of the selected papers of the special edition of international conference on monitoring, modeling & management of emergent economy (M3E2-MLPEED 2020), Odessa, Ukraine, July 13-18, 2020. – 2020. – Vol. 2713. – P. 1-20. – Access mode : http://ceur-ws.org/Vol-2713/paper00.pdf.
Abstract: This is an introductory text to a collection of selected papers from the M3E2 2020 Summer: The Special Edition of International Conference on Monitoring, Modeling & Management of Emergent Economy, which was held in Odessa, Ukraine, on the July 13-18, 2020. It consists of short introduction and some observations about the event and its future.
URI: http://ceur-ws.org/Vol-2713/paper00.pdf
http://ds.knu.edu.ua/jspui/handle/123456789/3071
ISSN: 1613-0073
Appears in Collections:Кафедра професійної та соціально-гуманітарної освіти
Наукові статті

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