Big data visualization and analytics: Future research challenges and emerging applications

Gennady Andrienko; Natalia Andrienko; Steven Drucker; Jean Daniel Fekete; Danyel Fisher; Stavros Idreos; Tim Kraska; Guoliang Li; Kwan Liu Ma; Jock D. Mackinlay; Antti Oulasvirta; Tobias Schreck; Heidrun Schmann; Michael Stonebraker; David Auber; Nikos Bikakis; Panos K. Chrysanthis; George Papastefanatos; Mohamed A. Sharaf

Big data visualization and analytics: Future research challenges and emerging applications

Gennady Andrienko, Natalia Andrienko, Steven Drucker, Jean Daniel Fekete, Danyel Fisher, Stavros Idreos, Tim Kraska, Guoliang Li, Kwan Liu Ma, Jock D. Mackinlay, Antti Oulasvirta, Tobias Schreck, Heidrun Schmann, Michael Stonebraker, David Auber, Nikos Bikakis, Panos K. Chrysanthis, George Papastefanatos, Mohamed A. Sharaf

Department of Computer Science and Software Engineering

Research output: Contribution to journal › Conference article › peer-review

3 Citations (Scopus)

Abstract

In the context of data visualization and analytics, this report outlines some of the challenges and emerging applications that arise in the Big Data era. In particularly, fourteen distinguished scientists from academia and industry, and diverse related communities, i.e., Information Visualization, Human-Computer Interaction, Machine Learning, Data management & Mining, and Computer Graphics have been invited to express their opinions.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	2578
Publication status	Published - 2020
Event	Workshops of the 23rd International Conference on Extending Database Technology/23rd International Conference on Database Theory, EDBT-ICDT-WS 2020 - Copenhagen, Denmark Duration: Mar 30 2020 → Apr 2 2020

Keywords

Big Data Challenges
Computer Graphics
Data Management & Mining
Future Directions
HCI
Information Visualization
Machine Learning
Research Opportunities
Visual Analytics

ASJC Scopus subject areas

Computer Science(all)

Cite this

Andrienko, G., Andrienko, N., Drucker, S., Fekete, J. D., Fisher, D., Idreos, S., Kraska, T., Li, G., Ma, K. L., Mackinlay, J. D., Oulasvirta, A., Schreck, T., Schmann, H., Stonebraker, M., Auber, D., Bikakis, N., Chrysanthis, P. K., Papastefanatos, G., & Sharaf, M. A. (2020). Big data visualization and analytics: Future research challenges and emerging applications. CEUR Workshop Proceedings, 2578.

Andrienko, G, Andrienko, N, Drucker, S, Fekete, JD, Fisher, D, Idreos, S, Kraska, T, Li, G, Ma, KL, Mackinlay, JD, Oulasvirta, A, Schreck, T, Schmann, H, Stonebraker, M, Auber, D, Bikakis, N, Chrysanthis, PK, Papastefanatos, G & Sharaf, MA 2020, 'Big data visualization and analytics: Future research challenges and emerging applications', CEUR Workshop Proceedings, vol. 2578.

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abstract = "In the context of data visualization and analytics, this report outlines some of the challenges and emerging applications that arise in the Big Data era. In particularly, fourteen distinguished scientists from academia and industry, and diverse related communities, i.e., Information Visualization, Human-Computer Interaction, Machine Learning, Data management & Mining, and Computer Graphics have been invited to express their opinions.",

keywords = "Big Data Challenges, Computer Graphics, Data Management & Mining, Future Directions, HCI, Information Visualization, Machine Learning, Research Opportunities, Visual Analytics",

author = "Gennady Andrienko and Natalia Andrienko and Steven Drucker and Fekete, {Jean Daniel} and Danyel Fisher and Stavros Idreos and Tim Kraska and Guoliang Li and Ma, {Kwan Liu} and Mackinlay, {Jock D.} and Antti Oulasvirta and Tobias Schreck and Heidrun Schmann and Michael Stonebraker and David Auber and Nikos Bikakis and Chrysanthis, {Panos K.} and George Papastefanatos and Sharaf, {Mohamed A.}",

note = "Publisher Copyright: {\textcopyright} 2020 Copyright for this paper by its author(s).; Workshops of the 23rd International Conference on Extending Database Technology/23rd International Conference on Database Theory, EDBT-ICDT-WS 2020 ; Conference date: 30-03-2020 Through 02-04-2020",

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language = "English",

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T2 - Workshops of the 23rd International Conference on Extending Database Technology/23rd International Conference on Database Theory, EDBT-ICDT-WS 2020

AU - Andrienko, Gennady

AU - Andrienko, Natalia

AU - Drucker, Steven

AU - Fekete, Jean Daniel

AU - Fisher, Danyel

AU - Idreos, Stavros

AU - Kraska, Tim

AU - Li, Guoliang

AU - Ma, Kwan Liu

AU - Mackinlay, Jock D.

AU - Oulasvirta, Antti

AU - Schreck, Tobias

AU - Schmann, Heidrun

AU - Stonebraker, Michael

AU - Auber, David

AU - Bikakis, Nikos

AU - Chrysanthis, Panos K.

AU - Papastefanatos, George

AU - Sharaf, Mohamed A.

PY - 2020

Y1 - 2020

N2 - In the context of data visualization and analytics, this report outlines some of the challenges and emerging applications that arise in the Big Data era. In particularly, fourteen distinguished scientists from academia and industry, and diverse related communities, i.e., Information Visualization, Human-Computer Interaction, Machine Learning, Data management & Mining, and Computer Graphics have been invited to express their opinions.

AB - In the context of data visualization and analytics, this report outlines some of the challenges and emerging applications that arise in the Big Data era. In particularly, fourteen distinguished scientists from academia and industry, and diverse related communities, i.e., Information Visualization, Human-Computer Interaction, Machine Learning, Data management & Mining, and Computer Graphics have been invited to express their opinions.

KW - Big Data Challenges

KW - Computer Graphics

KW - Data Management & Mining

KW - Future Directions

KW - HCI

KW - Information Visualization

KW - Machine Learning

KW - Research Opportunities

KW - Visual Analytics

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M3 - Conference article

AN - SCOPUS:85082742825

SN - 1613-0073

VL - 2578

JO - CEUR Workshop Proceedings

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Y2 - 30 March 2020 through 2 April 2020

ER -

Big data visualization and analytics: Future research challenges and emerging applications

Abstract

Keywords

ASJC Scopus subject areas

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