Analytical Review of Data Visualization Methods in Application to Big Data
Author(s) -
Evgeniy Yur’evich Gorodov,
V.V. Gubarev
Publication year - 2013
Publication title -
journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 25
eISSN - 2090-0155
pISSN - 2090-0147
DOI - 10.1155/2013/969458
Subject(s) - big data , visualization , computer science , data set , set (abstract data type) , data visualization , representation (politics) , data mining , data science , information visualization , external data representation , artificial intelligence , politics , political science , law , programming language
This paper describes the term Big Data in aspects of data representation and visualization. There are some specific problems in Big Data visualization, so there are definitions for these problems and a set of approaches to avoid them. Also, we make a review of existing methods for data visualization in application to Big Data and taking into account the described problems. Summarizing the result, we have provided a classification of visualization methods in application to Big Data
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