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  Published Paper Details:

  Paper Title

EXPLORATORY STUDY FOR BIG DATA VISUALIZATION IN THE INTERNET OF THINGS

  Authors

  Sudhir Allam

  Keywords

Big Data, IoT-big data visualization, Data visualization, Internet of Things, Machine learning, Visual analytics

  Abstract


While the Internet of Things (IoT) gains momentum in the tech industry, large amounts of wireless devices are developed, tracking a vast variety of infrastructure, which constantly optimizes data in different fields such as medical, transport and logistics, energy, agriculture intelligence, building automation, and data producing industries [1]. Big data techniques play a major role in IoT processes as instruments for l visualization to produce useful information in real-time and enable strategic decision-making. This paper includes an extensive analysis of how big data visualization is beneficial to the IoT approaches, software, and techniques. By examining the visual analytics, the paper places the data visualization within the visual analysis phase. It offers a study of different tools available for data visualization and analyzes guidelines for each of them, considering the specific circumstances of the individual use case. Although the big data methods are separated from each IoT area, the paper will explore visualization challenges and how big data shapes the IoT. To fully explore the topic, the paper requires literature reviews to establish its composition. While this paper does not show any findings, it provides a summary of what has been achieved to date in big data visualization in IoT and in-depth learning application in this field of science. The role of big data on IoT visualization will also be presented. It emphasizes illustrating the main concepts of Big Data visualization in real-time.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1133995

  Paper ID - 205129

  Page Number(s) - 805-809

  Pubished in - Volume 5 | Issue 3 | July 2017

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.26386

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Sudhir Allam,   "EXPLORATORY STUDY FOR BIG DATA VISUALIZATION IN THE INTERNET OF THINGS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.5, Issue 3, pp.805-809, July 2017, Available at :http://www.ijcrt.org/papers/IJCRT1133995.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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