Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications

G. Andrienko, N. Andrienko, S. Drucker, J.-D. Fekete, D. Fisher, S. Idreos, T. Kraska, G. Li, K.-L. Ma, J. Mackinlay, A. Oulasvirta, T. Schreck, H. Schmann, M. Stonebraker, D. Auber, N. Bikakis, P. Chrysanthis, G. Papastefanatos, M. Sharaf

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

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 languageEnglish
Title of host publicationACM SIGMOD Blog (3rd Int. Workshop on Big Data Visual Exploration and Analytics EDBT/ICDT 2020)
Publication statusPublished - 2020
Event23rd International Conference on Extending Database Technology/23rd International Conference on Database Theory - Virtuell, Denmark
Duration: 30 Mar 20202 Apr 2020

Publication series

NameCEUR Workshop Proceedings
Volume2578

Conference

Conference23rd International Conference on Extending Database Technology/23rd International Conference on Database Theory
Abbreviated titleEDBT-ICDT-WS 2020
CountryDenmark
CityVirtuell
Period30/03/202/04/20

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)

Fields of Expertise

  • Information, Communication & Computing

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