dc.date.accessioned	2020-12-24T16:05:12Z
dc.date.available	2020-12-24T16:05:12Z
dc.date.issued	2020-10-26
dc.identifier.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/	uk_UA
dc.identifier.issn	1613-0073
dc.identifier.uri	http://ceur-ws.org/Vol-2713/
dc.identifier.uri	http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/4117
dc.identifier.uri	https://doi.org/10.31812/123456789/4117
dc.description.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.	uk_UA
dc.language.iso	en	uk_UA
dc.publisher	Arnold Kiv	uk_UA
dc.subject	machine learning	uk_UA
dc.subject	emergent economy dynamics	uk_UA
dc.title	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	uk_UA
dc.type	Book	uk_UA