Human-Centric Intelligent Systems

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Volume 1, Issue 1-2, June 2021, Pages 3 - 17

Deep Visual Analytics (DVA): Applications, Challenges and Future Directions

Authors
Md Rafiqul Islam1, *, Shanjita Akter2, Md Rakybuzzaman Ratan2, Abu Raihan M. Kamal2, Guandong Xu1
1Advanced Analytics Institute (AAI), University of Technology Sydney (UTS), Australia
2Department of Computer Science & Engineering, Islamic University of Technology (IUT), Bangladesh
*Corresponding author. Email: MdRafiqul.Islam-1@student.uts.edu.au
Corresponding Author
Md Rafiqul Islam
Received 11 May 2021, Accepted 25 June 2021, Available Online 22 July 2021.
DOI
10.2991/hcis.k.210704.003How to use a DOI?
Keywords
Deep visual analytics; visual analytics; visual interactive system; deep learning; machine learning
Abstract

Visual interactive system (VIS) has been received significant attention for solving various complex problems. However, designing and implementing a novel VIS with the large scale of data is a challenging task. While existing studies have applied various visual analytics (VA) to analyze and visualize insightful information, deep visual analytics (DVA) have considered as a promising technique to provide input evidences and explain system results. In this study, we present several deep learning (DL) techniques for analyzing data with visualization, which summarizes the state-of-the-art review on (i) big data analysis, (ii) cognitive and perception science, (iii) customer behavior analysis, (iv) natural language processing, (v) recommended system, (vi) healthcare analysis, (vii) fintech ecosystem, and (viii) tourism management. We present open research challenges for emerging DVA in the visualization community. We also highlight some key themes from the existing literature that may help to explore for future study. Thus, our goal is to help readers and researchers in DL and VA to understand key aspects in designing VIS for analysing data.

Copyright
© 2021 The Authors. Publishing services by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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<Previous Article In Issue
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Journal
Human-Centric Intelligent Systems
Volume-Issue
1 - 1-2
Pages
3 - 17
Publication Date
2021/07/22
ISSN (Online)
2667-1336
DOI
10.2991/hcis.k.210704.003How to use a DOI?
Copyright
© 2021 The Authors. Publishing services by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Md Rafiqul Islam
AU  - Shanjita Akter
AU  - Md Rakybuzzaman Ratan
AU  - Abu Raihan M. Kamal
AU  - Guandong Xu
PY  - 2021
DA  - 2021/07/22
TI  - Deep Visual Analytics (DVA): Applications, Challenges and Future Directions
JO  - Human-Centric Intelligent Systems
SP  - 3
EP  - 17
VL  - 1
IS  - 1-2
SN  - 2667-1336
UR  - https://doi.org/10.2991/hcis.k.210704.003
DO  - 10.2991/hcis.k.210704.003
ID  - Islam2021
ER  -