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Big data : conceptual analysis and applications

Author: M Z Zhurovsʹkyĭ; Yuriy P Zaychenko
Publisher: Cham, Switzerland : Springer, [2020].
Series: Studies in big data, v. 58.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
The book is devoted to the analysis of big data in order to extract from these data hidden patterns necessary for making decisions about the rational behavior of complex systems with the different nature that generate this data. To solve these problems, a group of new methods and tools is used, based on the self-organization of computational processes, the use of crisp and fuzzy cluster analysis methods, hybrid  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: M Z Zhurovsʹkyĭ; Yuriy P Zaychenko
ISBN: 9783030142988 3030142981
OCLC Number: 1090811050
Description: 1 online resource (xxiii, 277 pages) : illustrations (some color).
Contents: Cluster Analysis in Big Data Mining.- Deep Neural Networks and Hybrid GMDH --
Neuro-fuzzy Networks in Big Data Analysis.- Pattern Recognition in Big Data Analysis.- Intellectual analysis of systemic world conflicts and global forecast for the 21st century.
Series Title: Studies in big data, v. 58.
Responsibility: Michael Z. Zgurovsky, Yuriy P. Zaychenko.

Abstract:

The book is devoted to the analysis of big data in order to extract from these data hidden patterns necessary for making decisions about the rational behavior of complex systems with the different  Read more...

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