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Studying the Big Data Paradigm in Dynamics of Its Advance
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Author(s): Pavel P. Makagonov (The Russian Presidential Academy of National Economy and Public Administration, Russia)and Amando Alejandro Ruiz Figueroa (University of the Sierra Sur, Mexico)
Copyright: 2019
Pages: 15
Source title:
Techno-Social Systems for Modern Economical and Governmental Infrastructures
Source Author(s)/Editor(s): Alexander Troussov (The Russian Presidential Academy of National Economy and Public Administration, Russia)and Sergey Maruev (The Russian Presidential Academy of National Economy and Public Administration, Russia)
DOI: 10.4018/978-1-5225-5586-5.ch002
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Abstract
The study of the big data subject matter in its advance already has its own history. Assuming as a basis the content analysis of article abstracts on big data, using e-library stocks of Association for Computing Machinery (ACM) and Institute of Electrical and Electronics Engineers (IEEE), one succeeds to monitor the life cycle phases of the big data paradigm and distinguish the stages of developing programs and algorithms from the technology update, including applications and their advanced renewals. In order to carry out the analysis, it is proposed to approximate the curves of cumulative frequencies of words, obtained from the corpus of texts by means of cubic parabolas, their parameters being in good concordance with ones of logistic curves.
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