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<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">Call for
Papers</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">BigVis
2024 | 7th
International Workshop on Big Data Visual Exploration and
Analytics</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>50th International Conference
on Very Large
Databases (VLDB 2024)</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>August 29 2024, Guangzhou,
China</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span><a
href="https://bigvis.imsi.athenarc.gr/bigvis2024"
class="moz-txt-link-freetext">https://bigvis.imsi.athenarc.gr/bigvis2024</a></p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">Held in
conjunction
with the 50th International Conference on Very Large Databases
(VLDB 2024),
Guangzhou, China.</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">Information
Visualization has been 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, multidimensional, 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.</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">In this
context,
several traditional problems from Data Management & Mining,
Information
Visualization, and Human-computer Interaction communities, such as
efficient
data storage, querying, and indexing to enable visual analytics,
as well as new
ways and AI techniques for visual presentation of massive data,
need to be
revisited. For instance, techniques that provide mechanisms for
information
abstraction, prefetching, sampling, progressive data
visualization, and
summarization to address problems related to visual information
overplotting.
Furthermore, it is essential to develop new methods that enhance
user
comprehension by providing customization options tailored to
various
user-defined exploration scenarios and preferences.</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">The Big
Data Visual
Exploration and Analytics workshop (BigVis) 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, Human-Computer Interaction, Machine Learning, and
Computer
Graphics, and highlight novel works that bridge together these
communities.</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">The
BigVis 2024 held
in conjunction with the 50th International Conference on Very
Large Databases
(VLDB 2024), Guangzhou, China.</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">Workshop
Topics</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">------------------------------------</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">In the
context of
visual exploration and analytics, topics of interest include, but
are not
limited to:</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Visualization, exploration
& analytics
techniques for various data types; e.g., stream, graph,
unstructured</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Human-in-the-loop processing</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Human-centered databases</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Data modeling, storage,
indexing, caching,
prefetching & query processing for interactive applications</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Interactive &
human-centered machine
learning</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Interactive data mining</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- User-oriented visualization;
e.g.,
recommendation, assistance, personalization</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Visualization &
knowledge; e.g.,
storytelling</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Progressive analytics</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Novel interface &
interaction paradigms</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Visual representation
techniques; e.g.,
aggregation, sampling, multi-level, filtering</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Analytics in the fields of
scholarly data,
digital libraries, multimedia, scientific data, social data, etc.</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Immersive visualization</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Interactive computer graphics</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- High performance, distributed
& parallel
techniques</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Visualization hardware &
acceleration
techniques</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Linked Data & ontologies
visualization</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Benchmarks for data
visualization &
analytics</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Case & user studies</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>- Systems & tools</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">Submissions</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">------------------------------------</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>Regular/Short Research papers
[up to 8/4
pages]</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>Work-in-progress papers [up
to 4 pages]</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>Vision papers [up to 4 pages]</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>Demo papers [up to 4 pages]</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span></p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span></p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">Important
Dates</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">------------------------------------</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>Submission: May 15, 2024
(AoE) </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>Notification: June 30, 2024</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>Camera-ready: July 15, 2024</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>Workshop: August 29, 2024</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">Special
Issue</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">------------------------------------</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>Authors of selected papers
will be invited to
submit extended versions of their work to a Special Issue (TBD).</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">Organizing
Committee</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">------------------------------------</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>Nikos Bikakis, HMU &
ATHENA Research
Center, Greece </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>Panos K. Chrysanthis,
University of
Pittsburgh, USA </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>Guoliang Li, Tsinghua
University, China<span style="mso-spacerun:yes"> </span></p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>George Papastefanatos, ATHENA
Research
Center, Greece </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="mso-spacerun:yes"> </span>Lingyun Yu, Xi’an
Jiaotong–Liverpool
University, China (General Chair)</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<br>
<br>
<pre class="moz-signature" cols="200">--
_ nikos</pre>
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