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ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data
Vol. 4, No. 1, Mar. 2020
Big Data Visualization for the Internet of Things: Opportunities and Challenges with Human Factors | Miscellaneous
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a Texas Tech University, Lubbock, United States
b Texas Tech University, Lubbock, United States
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This article has been retracted by International Computer Science and Engineering Society (ICSES) because of ethical misconduct, scientific distortion, or administrative error, and cannot be downloaded and used for any purpose based on the violation in ICSES Ethics in Publicationcall_made |
Retraction Note by the Editor-in-Chief
Highlights and Novelties
1- The interdisciplinary nature of big data and IoT is emphasized.
2- Various visualization applications in multiple aspects regarding direct human factors such as disaster situational awareness, security and user privacy, journalism, and social media influence
3- Overview of big data visualization in IoT regarding human factors, the opportunities, and challenges in conducting visualization at the cross-section between big data and IoT.
Manuscript Abstract
Big data and the Internet of Things (IoT) are drawing widespread research interests across multiple areas, along with the systematic analytics supporting the decision-making process. Big data visualization opens up utilization for analyzing the IoT data, in which various data sources from sensors, services, and devices are combined into a single-layered visual interface, improving understanding of the large-scale data collected. This paper focuses on the cross-section in terms of visualization between big data and IoT with human factors. In more detail, this work aims to introduce the importance of big data visualization in IoT development, as well as present the opportunities in the near future and complex research challenges to be addressed. The interdisciplinary nature of big data and IoT is emphasized, presented in various visualization applications in multiple aspects regarding direct human factors and benefits such as disaster situational awareness, security and user privacy, journalism, and social media influence.
Keywords
Internet of Things Big data Data visualization Visual analytics Big data analytics
Copyright and Licence
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors. This manuscript is published in Open-Access manner based on the copyright licence of Creative Commons Attribution Non Commercial 4.0 International (CC BY-NC 4.0).
Cite this manuscript as
Huyen Nguyen, Tommy Dang, "Big Data Visualization for the Internet of Things: Opportunities and Challenges with Human Factors," ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data, vol. 4, no. 1, pp. 4-6, Mar. 2020.
For External Scientific Databeses
--BibTex--
@article{al._336
title="Big Data Visualization for the Internet of Things: Opportunities and Challenges with Human Factors",
author="Huyen Nguyen",
author="Tommy Dang",
journal="ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data (IITCIB)",
volume="4",
number="1",
pages="4-6",
year="2020",
month="03",
day="30",
publisher= "International Computer Science and Engineering Society (ICSES)",
doi="",
url="http://www.i-cses.com/files/download.php?pID=336"}
--EndNote--
%0 Journal Article
%T Big Data Visualization for the Internet of Things: Opportunities and Challenges with Human Factors
%A Huyen Nguyen
%A Tommy Dang
%J ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data (IITCIB)
%V 4
%N 1
%P 4-6
%D 2020
%I International Computer Science and Engineering Society (ICSES)
%U http://www.i-cses.com/files/download.php?pID=336
%8 2020-03-30
%R
%@ 2717-0047
--Dublin--
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Corresponding Author
Affiliation: Texas Tech University, Lubbock, United States
Tel: 8064706580
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