BigVis 2020 : 3rd Intl. Workshop on Big Data Visual Exploration and Analytics

  in Conferences   Posted on October 28, 2019

Conference Information

Submission Deadline Sunday 05 Jan 2020 Proceedings indexed by :
Conference Dates Mar 30, 2020 - Mar 30, 2020
Conference Address Copenhagen, Denmark
Conference & Submission Link
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

BigVis 2020: 3rd International Workshop on Big Data Visual Exploration and Analytics

In conjunction with EDBT/ICDT 2020, March 30, 2020, Copenhagen, Denmark

Held in conjunction with the 23rd Intl. Conference on Extending Database Technology & 23rd Intl. Conference on Database Theory (EDBT/ICDT 2020)

Information Visualization is nowadays one of the cornerstones of Data Science, turning the abundance of Big Data being produced through modern systems into actionable knowledge. Indeed, the Big Data era has realized the availability of voluminous datasets that are dynamic, noisy and heterogeneous in nature. Transforming a data-curious user into someone who can access and analyze that data is even more burdensome now for a great number of users with little or no support and expertise on the data processing part. Thus, the area of data visualization, visual exploration and analysis has gained great attention recently, calling for joint action from different research areas from the HCI, Computer graphics and Data management and mining communities.

In this respect, several traditional problems from these communities such as efficient data storage, querying & indexing for enabling visual analytics, new ways for visual presentation of massive data, efficient interaction and personalization techniques that can fit to different user needs are revisited. The modern exploration and visualization systems should nowadays offer scalable techniques to efficiently handle billion objects datasets, limiting the visual response in a few milliseconds along with mechanisms for information abstraction, sampling and summarization for addressing problems related to visual information overplotting. Further, they must encourage user comprehension offering customization capabilities to different user-defined exploration scenarios and preferences according to the analysis needs. Overall, the challenge is to offer self-service visual analytics, i.e. enable data scientists and business analysts to visually gain value and insights out of the data as rapidly as possible, minimizing the role of IT-expert in the loop.

The BigVis workshop aims at addressing the above challenges and issues by providing a forum for researchers and practitioners to discuss, exchange, and disseminate their work. BigVis attempts to attract attention from the research areas of Data Management & Mining, Information Visualization and Human-Computer Interaction and highlight novel works that bridge together these communities.

Workshop Topics


In the context of visual exploration and analytics, topics of interest include, but are not limited to:

– Visualization, exploration & analytics techniques for various data types; e.g., stream, spatial, high-dimensional, graph

– Human-in-the-loop processing

– Human-centered databases

– Data modeling, storage, indexing, caching, prefetching & query processing for interactive applications

– Interactive machine learning

– Interactive data mining

– User-oriented visualization; e.g., recommendation, assistance, personalization

– Visualization & knowledge; e.g., storytelling

– Progressive analytics

– In-situ visual exploration & analytics

– Novel interface & interaction paradigms

– Visual representation techniques; e.g., aggregation, sampling, multi-level, filtering

– Scalable visual operations; e.g., zooming, panning, linking, brushing

– Scientific visualization; e.g., volume visualization

– Analytics in the fields of scholarly data, digital libraries, multimedia, scientific data, social data, etc.

– Immersive visualization

– Interactive computer graphics

– Setting-oriented visualization; e.g., display resolution/size, smart phones, visualization over networks

– High performance, distributed & parallel techniques

– Visualization hardware & acceleration techniques

– Linked Data & ontologies visualization

– Benchmarks for data visualization & analytics

– Case & user studies

– Systems & tools



Regular/Short Research papers [up to 8/4 pages]

Work-in-progress papers [up to 4 pages]

Vision papers [up to 4 pages]

System papers and Demos [up to 4 pages]

Important Dates


Submission: January 5, 2020

Notification: January 24, 2020

Camera-ready: January 29, 2020

Workshop: March 30, 2020

Organizing Committee


David Auber, University Bordeaux, France

Nikos Bikakis, University of Ioannina, Greece

Panos Chrysanthis, University of Pittsburgh, USA

George Papastefanatos, ATHENA Research Center, Greece

Mohamed Sharaf, United Arab Emirates University, UAE

Special Issue


Extended versions of the best papers of BigVis 2020 will be invited for submission in a special issue of an international journal.

Program Committee


James Abello, Rutgers Univ, USA

Gennady Andrienko, Fraunhofer, Germany

Rick Cole, Tableau

Alfredo Cuzzocrea, ICAR-CNR & Univ of Calabria, Italy

Danyel Fisher,

Steffen Frey, Univ of Stuttgart, Germany

Giorgos Giannopoulos, ATHENA Research Center, Greece

Parke Godfrey, Univ of York, Canada

Michael Gubanov, Univ of Texas at San Antonio, USA

Silu Huang, Microsoft

Christophe Hurter, Ecole Nationale de l’Aviation Civile, France

Eser Kandogan, IBM

James Klosowski, AT&T Research

Zhicheng Liu, Adobe

Steffen Lohmann, Fraunhofer, Germany

Ioana Manolescu, INRIA & Ecole Polytechnique, France

Marios Meimaris, ATHENA Research Center, Greece

Silvia Miksch, Vienna University of Technology, Austria

Davide Mottin, Hasso Plattner Institute, Germany

Martin Nöllenburg, Vienna Univ of Technology, Austria

Olga Papaemmanouil, Brandeis Univ, USA

Paul Parsons, Purdue Univ, USA

Laura Po, Unimore, Italy

Giuseppe Polese, University of Salerno, Italy

Alexander Rind, St. Pölten Univ of Applied Sciences, Austria

Gerik Scheuermann, Univ of Leipzig, Germany

Heidrun Schumann, Univ of Rostock, Germany

Michael Sedlmair, Univ of Stuttgart, Germany

Thibault Sellam, Columbia Univ, USA

Bettina Speckmann, Eindhoven Univ of Technology, Netherlands

Kostas Stefanidis, Univ of Tampere, Finland

Cagatay Turkay, Univ of Warwick, UK

Panos Vassiliadis, Univ of Ioannina, Greece

Junpeng Wang, Visa Research

Chaoli Wang, Univ of Notre Dame, USA

Panpan Xu, Bosch Research

Kai Xu, Middlesex Univ, UK

Hongfeng Yu, Univ of Nebraska-Lincoln, USA

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