Study on Computational Intelligence Approaches and Big Data Analytics in Smart Transportation System

2018 ◽  
pp. 95-102 ◽  
Author(s):  
D. Venkata Siva Reddy ◽  
R. Vasanth Kumar Mehta
Keyword(s):  
Big Data ◽  
Computational Intelligence ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Transportation System ◽  
Smart Transportation

scholarly journals The Prospect of Internet of Things and Big Data Analytics in Transportation System

2018 ◽  
Vol 1018 ◽  
pp. 012013 ◽  
Author(s):  
Waleed Noori Hussein ◽  
L.M. Kamarudin ◽  
Haider N. Hussain ◽  
A. Zakaria ◽  
R Badlishah Ahmed ◽  
...  
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Transportation System

scholarly journals Guest Editorial: Computational Intelligence for Big Data Analytics

2019 ◽  
Vol 11 (3) ◽  
pp. 329-330
Author(s):  
A. Fernandez ◽  
I. Triguero ◽  
M. Galar ◽  
F. Herrera
Keyword(s):  
Big Data ◽  
Computational Intelligence ◽  
Data Analytics ◽  
Guest Editorial ◽  
Big Data Analytics

Computational Intelligence and Big Data Analytics

2019 ◽  
Author(s):  
Ch. Satyanarayana ◽  
Kunjam Nageswara Rao ◽  
Richard G. Bush
Keyword(s):  
Big Data ◽  
Computational Intelligence ◽  
Data Analytics ◽  
Big Data Analytics

Big Data Analytics on the Characteristic Equilibrium of Collective Opinions in Social Networks

Big Data ◽  
2016 ◽  
pp. 1403-1420 ◽  
Author(s):  
Yingxu Wang ◽  
Victor J. Wiebe
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Computational Intelligence ◽  
Data Analytics ◽  
Collective Intelligence ◽  
Big Data Analytics ◽  
Fuzzy Data ◽  
Web Based ◽  
Data Engineering ◽  
Computational Sociology

Big data are products of human collective intelligence that are exponentially increasing in all facets of quantity, complexity, semantics, distribution, and processing costs in computer science, cognitive informatics, web-based computing, cloud computing, and computational intelligence. This paper presents fundamental big data analysis and mining technologies in the domain of social networks as a typical paradigm of big data engineering. A key principle of computational sociology known as the characteristic opinion equilibrium is revealed in social networks and electoral systems. A set of numerical and fuzzy models for collective opinion analyses is formally presented. Fuzzy data mining methodologies are rigorously described for collective opinion elicitation and benchmarking in order to enhance the conventional counting and statistical methodologies for big data analytics.

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