Please use this identifier to cite or link to this item:
http://ds.knu.edu.ua/jspui/handle/123456789/4964| Title: | Machine learning for prediction of emergent economy dynamics |
| Authors: | Kiv, Arnold E. Soloviev, Vladimir N. Semerikov, Serhiy O. Danylchuk, Hanna B. Kibalnyk, Liubov O. Matviychuk, Andriy V. Striuk, Andrii M. |
| 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 |
| Issue Date: | 18-гру-2021 |
| Citation: | Kiv A. E. Machine learning for prediction of emergent economy dynamics [Electronic resource] / Arnold E. Kiv, Vladimir N. Soloviev, Serhiy O. Semerikov, Hanna B. Danylchuk, Liubov O. Kibalnyk, Andriy V. Matviychuk, Andrii M. Striuk // 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 / Edited by : Arnold E. Kiv, Vladimir N. Soloviev, Serhiy O. Semerikov // CEUR Workshop Proceedings. – 2021. – Vol. 3048. – P. i-xxxi. – Access mode : http://ceur-ws.org/Vol-3048/paper00.pdf |
| 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. |
| URI: | https://ceur-ws.org/Vol-3048/paper00.pdf http://ds.knu.edu.ua/jspui/handle/123456789/4964 |
| ISSN: | 1613-0073 |
| Appears in Collections: | Кафедра професійної та соціально-гуманітарної освіти |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| paper00.pdf | 2.53 MB | Adobe PDF | View/Open |
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