Big Data: Conceptual Analysis and Applications

Book Description

The book is devoted to the analysis of in order to extract from these data hidden patterns necessary for making decisions about the 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, 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 systems were used. Application of neuro-fuzzy networks for analyzing stock was presented. The analysis of big historical, economic and 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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