Machine learning for prediction of emergent economy dynamics

- Kiv, A.E. (orcid.org/0000-0002-0991-2343), Soloviev, V.N. (orcid.org/0000-0002-4945-202X), Semerikov, Serhiy O. (orcid.org/0000-0003-0789-0272), Danylchuk, H. (orcid.org/0000-0002-9909-2165), Kibalnyk, L. (orcid.org/0000-0001-7659-5627), Matviychuk, Andriy (orcid.org/0000-0002-8911-5677) and Striuk, A.M. (orcid.org/0000-0001-9240-1976) (2021) Machine learning for prediction of emergent economy dynamics Proceedings of the Selected and Revised Papers of 9th International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2-MLPEED 2021) Odessa, Ukraine, May 26-28, 2021 (3048). pp. 1-31. ISSN 1613-0073

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Abstract

This is an introductory text to a collection of selected papers and revised from the M3E2 2021: 9th International Conference on Monitoring, Modeling & Management of Emergent Economy, which held in Odessa National University of Economics, Odessa, Ukraine, on the May 26-28, 2021. It consists of introduction, conference review and some observations about the event and its future.

Item Type:	Article
Keywords:	dynamics of emergent markets in crisis and post-crisis period, econophysics, global challenges for economic theory and practice in Europe, information systems and technologies in economics, innovation models of economic development, modeling of hospitality sphere development, models of global transformations, monitoring, modeling and forecasting in the banking sector, monitoring, modeling, forecasting and preemption of crisis in socio-economic systems, risk management models in emergent economy
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 ) > 004.94 Simulation Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 33 Economics. Economic science
Divisions:	Institute for Digitalisation of Education > Department of the Cloud-Вased Systems of ICT in Education
Depositing User:	Сергій Олексійович Семеріков
Date Deposited:	02 Jan 2023 20:41
Last Modified:	02 Jan 2023 20:49
URI:	https://lib.iitta.gov.ua/id/eprint/733698

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