Analysis of «Big Data» technologies on the basis of discrete probability information measure

Authors

  • Igor Ruzhentsev Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166, Ukraine
  • Sergey Lutsky Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166, Ukraine

DOI:

https://doi.org/10.15587/2313-8416.2017.93457

Keywords:

measure, «Big Data» technology, information system approach, discrete probability information

Abstract

The article deals with the information system approach to the analysis of types of «Big Data» processing technologies from the point of determining the discrete probability information measure in the study of objects of the real physical world. The basic disadvantages of «Big Data» modern processing technologies are outlined. The structure of self-organization of «Big Data» information system is outlined. The structure of types of «Big Data» processing technologies is outlined from the position of discrete probability information measure

Author Biographies

Igor Ruzhentsev, Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166

Doctor of Technical Sciences, Professor, Head of Department

Department of Metrology and technical expertise

Sergey Lutsky, Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166

PhD, senior lecturer

Department of Metrology and technical expertise

References

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Published

2017-02-28

Issue

Section

Technical Sciences