Machine Learning for Prediction of Emergent Economy Dynamics 2020

Please use this identifier to cite or link to this item: http://ds.knu.edu.ua/jspui/handle/123456789/3066

Title:	Machine Learning for Prediction of Emergent Economy Dynamics 2020
Authors:	A. Kiv (ed.)
Keywords:	machine Learning emergent Economy Dynamics
Issue Date:	2020
Citation:	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 / edited by: Arnold Kiv // CEUR Workshop Pro-ceedings. – 2020. – Vol. 2713. – 458 p. – Access mode : http://ceur-ws.org/Vol-2713/.
Abstract:	This volume represents the proceedings of the selected papers of the Special Edition of International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2-MLPEED 2020), held in Odessa, Ukraine, on July 13-18, 2020. It comprises 23 contributed papers that were carefully peer-reviewed and selected from 45 submissions. The accepted papers present the state-of-the-art overview of successful cases and provides guidelines for future research.
URI:	http://ceur-ws.org/Vol-2713/ http://ds.knu.edu.ua/jspui/handle/123456789/3066
ISSN:	1613-0073
Appears in Collections:	Матеріали конференцій

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