CFP: Big Data Visual Exploration and Analytics Workshop (BigVis 2019 ) @ EDBT/ICDT

Do Nov 1 08:51:39 CET 2018

Call for Papers

BigVis 2019 :: 2nd International Workshop on Big Data Visual Exploration 
and Analytics
https://bigvis.imsi.athenarc.gr/bigvis2019
   EDBT/ICDT 2019, March 26, 2019, Lisbon, Portugal

Held in conjunction with the 22nd Intl. Conference on Extending Database 
Technology & 22nd Intl. Conference on Database Theory (EDBT/ICDT 2019)

In the Big Data era, the growing availability of a variety of massive 
datasets presents challenges and opportunities to not only corporate 
data analysts but also others, such as research scientists, data 
journalists, policy makers, SMEs, and individual data enthusiasts 
datasets are typically: accessible in a raw format that are not being 
loaded or indexed in a database (e.g., plain text, 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 a great number of users with 
little or no support and expertise on the data processing part. The 
purpose of visual data exploration is to facilitate information 
perception and manipulation, knowledge extraction and inference by 
non-expert users. Interactive visualization, used in a variety of modern 
systems, provides users with intuitive means to interpret and explore 
the content of the data, identify interesting patterns, infer 
correlations and causalities, and supports sense-making activities that 
are not always possible with traditional data analysis techniques.

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 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 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 & 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
  - In situ visual exploration and analytics
  - Progressive visual analytics
  - 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)
  - Immersive visualization and visual analytics
  - 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 4, 2019
   Notification: January 22, 2019
   Camera-ready: January 29, 2019
   Deadlines expire at 5pm PT
   Workshop: March 26, 2019

Organizing Committee
-------------------------------
   Nikos Bikakis, University of Ioannina, Greece
   Kwan-Liu Ma, University of California-Davis, USA
   Olga Papaemmanouil, Brandeis University, USA
   George Papastefanatos, ATHENA Research Center, Greece

Program Committee
-------------------------------
   James Abello, Rutgers University, USA
   Demosthenes Akoumianakis, Techn Instit of Crete, Greece
   Gennady Andrienko, Fraunhofer, Germany
   Manos Athanassoulis, Harvard, USA
   Leilani Battle, University of Washington, USA
   Carsten Binnig, Brown University, UK
   Nan Cao, Tongji University, China
   Maria Beatriz Carmo, Universidade de Lisboa, Portugal
   Giorgio Caviglia, Trifacta Inc
   Wei Chen, Zhejiang University, China
   Rick Cole, Tableau
   Alfredo Cuzzocrea, University of Trieste, Italy
   Aba-Sah Dadzie, The Open University, UK
   Issei Fujishiro, Keio University, Japan
   Giorgos Giannopoulos, ATHENA Research Center, Greece
   Parke Godfrey, University of York, Canada
   Daniel Goncalves, University of Montpellier, France
   Michael Gubanov, University of Texas at San Antonio, USA
   Marcel Hlawatsch, University of Stuttgart, Germany
   Yifan Hu, Yahoo!
   Christophe Hurter, ENAC, France
   Eser Kandogan, IBM
   Anastasios Kementsietsidis, Google
   James Klosowski, AT&T Research
   Stephen G. Kobourov, University of Arizona, USA
   Georgia Koutrika, ATHENA Research Center, Greece
   Giuseppe Liotta, University of Perugia, Italy
   Guoliang Li, Tsinghua University, China
   Zhicheng Liu, Adobe
   Steffen Lohmann, Fraunhofer, Germany
   Davide Mottin, Hasso Plattner Institute, Germany
   Martin NÃ¶llenburg, Vienna University of Technology, Austria
   Paul Parsons, Purdue University, USA
   Neoklis Polyzotis, Google
   Gerik Scheuermann, University of Leipzig, Germany
   Tobias Schreck, Graz University of Technology, Austria
   Thibault Sellam, Columbia University, USA
   Mike Sips, GFZ, Germany
   Dimitrios Skoutas, ATHENA Research Center, Greece
   Kostas Stefanidis, University of Tampere, Finland
   Cagatay Turkay, City University London, UK
   Yannis Tzitzikas, University of Crete, Greece
   Panos Vassiliadis, University of Ioannina, Greece
   Chaoli Wang, University of Notre Dame, USA
   Kai Xu, Middlesex University, UK
   Hongfeng Yu, University of Nebraska-Lincoln, USA

-- 
:nikos

-------------- nächster Teil --------------
Ein Dateianhang mit HTML-Daten wurde abgetrennt...
URL: <https://lists.tu-clausthal.de/cgi-bin/mailman/private/ifi-ci-event/attachments/20181101/7c9e34cd/attachment.html>