Big Data: Conceptual Analysis and Applications

Book Description

The book is devoted to the of in order to extract from these data hidden necessary for making decisions about the behavior of complex 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 neural-fuzzy networks, and others. The book solves various practical problems. In particular, for the tasks of 3D image recognition and automatic speech recognition large-scale neural networks with applications for Deep Learning were used. Application of hybrid neuro-fuzzy networks for analyzing stock was presented. The analysis of big historical, economic and physical data revealed the hidden Fibonacci pattern about the course of systemic world conflicts and their connection with the Kondratieff big economic cycles and the Schwabe–Wolf solar activity cycles. The book is useful for system analysts and practitioners working with complex systems in various spheres of human activity.

Book Details

  • Title: Big Data: Conceptual Analysis and Applications
  • Author: ,
  • Length: 277 pages
  • Edition: 1st ed. 2020
  • Language: English
  • Publisher:
  • Publication Date: 2019-03-22
  • ISBN-10: 3030142973
  • ISBN-13: 9783030142971
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