Machine learning of emerging markets in pandemic times

- Kiv, A.E. (orcid.org/0000-0002-0991-2343), Hryhoruk, Pavlo (orcid.org/0000-0002-2732-5038), Khvostina, Inesa (orcid.org/0000-0001-5915-749X), Solovieva, Victoria (orcid.org/0000-0002-8090-9569), Soloviev, V.N. (orcid.org/0000-0002-4945-202X) and Semerikov, Serhiy O. (orcid.org/0000-0003-0789-0272) (2020) Machine learning of emerging markets in pandemic times 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 (2713). pp. 1-20. ISSN 1613-0073

Text paper00.pdf - Published Version Download (9MB)

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.

Item Type:	Article
Keywords:	machine learning, prediction of emergent economy dynamics, COVID-19
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques ) Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 33 Economics. Economic science Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 5 Мathematics. natural sciences > 51 Mathematics
Divisions:	Institute for Digitalisation of Education > Department of the Cloud-Вased Systems of ICT in Education
Depositing User:	Сергій Олексійович Семеріков
Date Deposited:	01 Oct 2021 18:24
Last Modified:	01 Oct 2021 18:24
URI:	https://lib.iitta.gov.ua/id/eprint/726857

Downloads

Actions (login required)

View Item