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

Gennady Andrienko (1) , Natalia Andrienko (1) , Steven M. Drucker (2) , Jean-Daniel Fekete (3) , Danyel Fisher (4) , Stavros Idreos (5) , Tim Kraska (6) , Guoliang Li (7) , Kwan-Liu Ma (8) , Jock D Mackinlay (9) , Antti Oulasvirta (10) , Tobias Schreck (11) , Heidrun Schmann (12) , Michael Stonebraker (6) , David Auber (13) , Nikos Bikakis (14) , Panos K Chrysanthis (15) , George Papastefanatos (16) , Mohamed A Sharaf (17)

1 Fraunhofer IAIS - Fraunhofer Institute for Intelligent Analysis and Information Systems
2 Microsoft Research
3 AVIZ - Analysis and Visualization
4 Honeycomb I O
5 Harvard University
6 MIT - Massachusetts Institute of Technology
7 THU - Tsinghua University [Beijing]
8 VIDI - Visualization and Interface Design Innovation
9 Tableau Research
10 Aalto University
11 TU Graz - Graz University of Technology [Graz]
12 University of Rostock
13 LaBRI - Laboratoire Bordelais de Recherche en Informatique
14 University of Ioannina
15 PITT - University of Pittsburgh
16 ATHENA - Research and Innovation Center in Information, Communication and Knowledge Technologies
17 UAEU - United Arab Emirates University

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.

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

Domaines: Interface homme-machine [cs.HC]; Base de données [cs.DB]

Gennady Andrienko, Natalia Andrienko, Steven M. Drucker, Jean-Daniel Fekete, Danyel Fisher, et al.. Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications. BigVis 2020: Big Data Visual Exploration and Analytics, Mar 2020, Copenhagen, Denmark. ⟨hal-02568845⟩