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Поле DC | Значення | Мова |
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dc.contributor.author | Ків, Арнольд Юхимович | - |
dc.contributor.author | Соловйов, Володимир Миколайович | - |
dc.contributor.author | Семеріков, Сергій Олексійович | - |
dc.contributor.author | Danylchuk, Hanna B. | - |
dc.contributor.author | Kibalnyk, Liubov O. | - |
dc.contributor.author | Matviychuk, Andriy V. | - |
dc.contributor.author | Striuk, Andrii M. | - |
dc.contributor.author | Данильчук, Ганна Борисівна | - |
dc.contributor.author | Кібальник, Л.О. | - |
dc.contributor.author | Матвійчук, Андрій Вікторович | - |
dc.contributor.author | Стрюк, Андрій Миколайович | - |
dc.date.accessioned | 2023-01-02T10:28:33Z | - |
dc.date.available | 2023-01-02T10:28:33Z | - |
dc.date.issued | 2021-12-18 | - |
dc.identifier.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 | uk |
dc.identifier.issn | 1613-0073 | - |
dc.identifier.uri | https://ceur-ws.org/Vol-3048/paper00.pdf | - |
dc.identifier.uri | http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/6973 | - |
dc.identifier.uri | https://doi.org/10.31812/123456789/6973 | - |
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dc.description.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. | uk |
dc.language.iso | en | uk |
dc.subject | dynamics of emergent markets in crisis and post-crisis period | uk |
dc.subject | econophysics | uk |
dc.subject | global challenges for economic theory and practice in Europe | uk |
dc.subject | information systems and technologies in economics | uk |
dc.subject | innovation models of economic development | uk |
dc.subject | modeling of hospitality sphere development | uk |
dc.subject | models of global transformations | uk |
dc.subject | monitoring, modeling and forecasting in the banking sector | uk |
dc.subject | monitoring, modeling, forecasting and preemption of crisis in socio-economic systems | uk |
dc.subject | risk management models in emergent economy | uk |
dc.title | Machine learning for prediction of emergent economy dynamics | uk |
dc.type | Article | uk |
Розташовується у зібраннях: | Кафедра інформатики та прикладної математики |
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paper00.pdf | 2.53 MB | Adobe PDF | Переглянути/Відкрити |
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