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Big Data in the GovTech System

Big Data in the GovTech System

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Ostrovskaya, Victoria N. (Editor), Bogoviz, Aleksei V. (Editor)
Summary:XI, 200 p. 29 illus., 8 illus. in color.
text
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:Studies in Big Data, 110
Subjects:
Engineering > Data processing.
Computational intelligence.
Industrial Management.
Econometrics.
Data Engineering.
Computational Intelligence.
Quantitative Economics.
Online Access:https://doi.org/10.1007/978-3-031-04903-3
Format: Electronic Book
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Internet

https://doi.org/10.1007/978-3-031-04903-3

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