Deadline Extension Jan. 5, 2018 - Workshop on Big Data Visual Exploration and Analytics - EDBT/ICDT Vienna

[BigVis @ EDBT18]

   *** The submission deadline has been extended to January 5, 2018 ***


 > Selected papers of the BigVis 2018 will be invited to a Special Issue of
the Big Data Research Journal, Elsevier


BigVis 2018 Call for Papers


BigVis 2018 :: International Workshop on Big Data Visual Exploration and
Analytics
  http://bigvis2018.imis.athena-innovation.gr
  Vienna, Austria

Held in conjunction with the  21th Intl. Conference on Extending Database
Technology & 21th Intl. Conference on Database Theory (EDBT/ICDT 2018)


One the major challenges of the Big Data era is that it has realized the
availability of a great amount and variety of massive datasets for analysis
by non-corporate data analysts, such as research scientists, data
journalists, policy makers, SMEs and individuals. A major characteristic of
these datasets is that they are: accessible in a raw format that are not
being loaded or indexed in a database (e.g., plain text files, json, rdf),
dynamic, dirty and heterogeneous in nature. The level of difficulty in
transforming a data-curious user into someone who can access and analyze
that data is even more burdensome now for numerous non-expert users.

In the Big Data era, several challenges arise in the field of data
visualization and analytics. First, the modern exploration and
visualization systems should offer scalable data management techniques in
order to efficiently handle billion objects datasets, limiting the system
response in a few milliseconds. Besides, nowadays systems must address the
challenge of on-the-fly scalable visualizations over large and dynamic sets
of volatile raw data, offering efficient interactive exploration
techniques, as well as mechanisms for information abstraction, sampling and
summarization for addressing problems related to 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
enable users to 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 and 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 and exploration techniques for various Big Data types
(e.g., stream, spatial, high-dimensional, graph)
 - Human-centered database techniques
 - Indexes and data structures for data visualization
 - Raw data visual exploration and analytics
 - Incremental and adaptive processing
 - Interactive caching and prefetching
 - Scalable visual operations (e.g., zooming, panning, linking, brushing)
 - Big Data visual representation techniques (e.g., aggregation, sampling,
multi-level, filtering)
 - Setting-oriented visualization (e.g., display resolution/size, smart
phones, pixel-oriented, visualization over networks)
 - User-oriented visualization (e.g., assistance, personalization,
recommendation)
 - Visual analytics (e.g., pattern matching, timeseries analytics,
prediction analysis, outlier detection, OLAP)
 - Visual and interactive data mining
 - Models of human-in-the-loop data analysis
 - High performance/Parallel techniques
 - Visualization hardware and acceleration techniques
 - Linked Data and ontologies visualization
 - Case and user studies
 - Systems and tools


 Submissions
-------------------------------
 - regular research papers (up to 8 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, 2018
  Notification: January 22, 2018
  Camera-ready: January 29, 2018
  Deadlines expire at 5pm PT
  Workshop: March 26, 2018


Organizing Committee
-------------------------------
  Nikos Bikakis, ATHENA Research Center, Greece
  George Papastefanatos, ATHENA Research Center, Greece
  Olga Papaemmanouil, Brandeis University, USA


Program Committee
-------------------------------
  Ioannis Alagiannis, Microsoft
  Manos Athanassoulis, Harvard, USA
  David Auber, Universite Bordeaux 1, France
  Leilani Battle, Univeristy of Maryland, USA
  Carsten Binnig, Brown University, UK
  Nan Cao, Tongji University, China
  Giorgio Caviglia, Trifacta Inc
  Remco Chang, Tufts University, USA
  Michael Gubanov, University of Texas at San Antonio, USA
  Rick Cole, Tableau Software
  Aba-Sah Dadzie, The Open University, UK
  Giorgos Giannopoulos, ATHENA Research Center, Greece
  Parke Godfrey, York University, Canada
  Jarek Gryz, York University, Canada
  Alexander Hinneburg, MLU, Germany
  Marcel Hlawatsch, Universitat Stuttgart, Germany
  Bill Howe, University of Washington, USA
  Yifan Hu Yahoo! Research
  Valentina Ivanova, Linkoping University, Sweden
  Vana Kalogeraki, AUEB, Greece
  Niranjan Kamat, Ohio State University, USA
  Manos Karpathiotakis, EPFL, Switzerland
  Manolis Koubarakis, University of Athens, Greece
  Danai Koutra, University of Michigan, USA
  Georgia Koutrika, ATHENA Research Center, Greece
  Steffen Lohmann, Fraunhofer, Germany
  Kwan-Liu Ma, University of California at Davis, USA
  Suvodeep Mazumdar, University of Sheffield, Sweden
  Davide Mottin, Hasso Plattner Institute, Germany
  Paul Parsons, Purdue University, USA
  Tobias Schreck, Graz University of Technology, Austria
  Mariano Rico, UPM, Spain
  Thibault Sellam, Columbia University, USA
  Mike Sips, GFZ, Germany
  Dimitrios Skoutas, ATHENA Research Center, Greece
  Kostas Stefanidis, University of Tampere, Finland
  Hanghang Tong, Arizona State University, USA
  Yannis Tzitzikas, University of Crete, Greece
  Panos Vassiliadis, University of Ioannina, Greece
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