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Data science: opportunities to transform education

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dc.contributor.author Volkova, Nataliia P.
dc.contributor.author Rizun, Nina O.
dc.contributor.author Nehrey, Maryna V.
dc.date.accessioned 2019-09-14T17:29:35Z
dc.date.available 2019-09-14T17:29:35Z
dc.date.issued 2019-09-09
dc.identifier.citation Volkova N. P. Data science: opportunities to transform education [Electronic resource] / Nataliia P. Volkova, Nina O. Rizun, Maryna V. Nehrey // Cloud Technologies in Education : Proceedings of the 6th Workshop on Cloud Technologies in Education (CTE 2018), Kryvyi Rih, Ukraine, December 21, 2018 / Edited by : Arnold E. Kiv, Vladimir N. Soloviev. – P. 48-73. – (CEUR Workshop Proceedings (CEUR-WS.org), Vol. 2433). – Access mode : http://ceur-ws.org/Vol-2433/paper03.pdf uk
dc.identifier.issn 1613-0073
dc.identifier.uri http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/3241
dc.identifier.uri https://doi.org/10.31812/123456789/3241
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dc.description.abstract The article concerns the issue of data science tools implementation, including the text mining and natural language processing algorithms for increasing the value of high education for development modern and technologically flexible society. Data science is the field of study that involves tools, algorithms, and knowledge of math and statistics to discover knowledge from the raw data. Data science is developing fast and penetrating all spheres of life. More people understand the importance of the science of data and the need for implementation in everyday life. Data science is used in business for business analytics and production, in sales for offerings and, for sales forecasting, in marketing for customizing customers, and recommendations on purchasing, digital marketing, in banking and insurance for risk assessment, fraud detection, scoring, and in medicine for disease forecasting, process automation and patient health monitoring, in tourism in the field of price analysis, flight safety, opinion mining etc. However, data science applications in education have been relatively limited, and many opportunities for advancing the fields still unexplored. uk
dc.language.iso en uk
dc.publisher Arnold E. Kiv, Vladimir N. Soloviev uk
dc.subject data science uk
dc.subject high education uk
dc.subject clustering uk
dc.subject natural language processing uk
dc.subject text mining uk
dc.title Data science: opportunities to transform education uk
dc.type Article uk


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