Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Gennadiy Shevchenko"'
Publikováno v:
Problems and Perspectives in Management, Vol 21, Iss 3, Pp 316-329 (2023)
Innovation plays a crucial role in ensuring economic growth and competitiveness of national economies, creating conditions for their sustainable development. By focusing on supporting innovation, the EU is particularly helping to accelerate the devel
Externí odkaz:
https://doaj.org/article/1a92694c323f456bb0dce2538ed1b3f6
Publikováno v:
Knowledge & Performance Management, Vol 5, Iss 1, Pp 1-13 (2021)
Due to the large volumes of empirical digitized data, a critical challenge is to identify their hidden and unobvious patterns, enabling to gain new knowledge. To make efficient use of data mining (DM) methods, it is required to know its capabilities
Externí odkaz:
https://doaj.org/article/b015dd28aa3e486bb25a78e111ccea8d
Publikováno v:
Problems and Perspectives in Management, Vol 17, Iss 4, Pp 153-162 (2019)
To carry out a comparative analysis of the EU countries’ national innovation systems (NIS), a feature vector has been compiled, covering three modules, namely, science, education, and innovation. The feature vector is a valid multidimensional data
Externí odkaz:
https://doaj.org/article/cfc3446c36834ac39d47fd2ba73daacc
Publikováno v:
Innovative Marketing, Vol 15, Iss 1, Pp 89-99 (2019)
Modern economy is characterized by rapid qualitative and quantitative changes that significantly affect the nature of economic, socio-economic and social relations. Innovative processes and trends are very specific manifestations, which are reflected
Externí odkaz:
https://doaj.org/article/2a04900a989e49a8b6f424def1b56235
Autor:
Gennadiy Shevchenko, Oleg Marchenko
Publikováno v:
Nauka ta naukoznavstvo. 2:12-23
Publikováno v:
Problems and Perspectives in Management, Vol 17, Iss 4, Pp 153-162 (2019)
To carry out a comparative analysis of the EU countries’ national innovation systems (NIS), a feature vector has been compiled, covering three modules, namely, science, education, and innovation. The feature vector is a valid multidimensional data