<div dir="ltr"><p class="MsoNormal" align="center" style="text-align:center;background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">2nd
International Workshop on DAta mining meets Visual Analytics at big data
era </span></p>

<p class="MsoNormal" align="center" style="text-align:center;background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">(DAVA
2016) </span></p>

<p class="MsoNormal" align="center" style="text-align:center;background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">In Conjunction
with CIKM 2016 </span></p>

<p class="MsoNormal" align="center" style="text-align:center;background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">Indianapolis,
USA, 28 October 2016</span></p>

<p class="MsoNormal" align="center" style="text-align:center;background-image:initial;background-repeat:initial"><span lang="EN-US"><a href="http://vis.ios.ac.cn/DAVA16/" target="_blank"><span style="font-size:9.5pt;font-family:Arial,sans-serif">http://vis.ios.ac.cn/DAVA16/</span></a></span><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif"></span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif"> </span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">Full paper
submission: July 31, 2016 </span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">Author
notification: August 22, 2016 </span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">Workshop
date: October 28, 2016 </span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">Submission
Link: </span><span lang="EN-US"><a href="https://easychair.org/conferences/?conf=dava2016" target="_blank"><span style="font-size:9.5pt;font-family:Arial,sans-serif">https://easychair.org/conferences/?conf=dava2016</span></a></span><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif"></span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif"> </span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">The world is
awash with big data now – we are generating ten exabytes of data in a variety
of different forms every day. In this wave, there is a trend to integrate the
data mining methods with interactive visualizations to advance the so-called
visual analytics (VA) technology. The VA technique enjoys the joint advantage
of the human intelligence and the machine’s computational power. Various
aspects of the data mining method need to be inspected, justified, organized
and evaluated for a successful VA system. This workshop will bring together
interdisciplinary researchers from academy, research labs and practice to
share, exchange, learn, and develop preliminary results, new concepts, ideas,
principles, and methodologies on applying data mining technologies to help
advance the visual analytics technology. Researchers and practitioners on the
domain of data mining, machine learning, visualization, user interface etc.,
are welcome to attend, no specific background knowledge is required.</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif"> </span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">The topics of
this workshop include, but not limited to, the following:</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">* Big data
mining and visual analytics, theory and foundations</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">* Knowledge
discovery with data mining and visual analytics technologies</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">* Fusion, mining
and visualization of rich and heterogeneous data source</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">* Security and
privacy issues in data mining and visual analytics systems</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">* Information,
social and biological graph mining and visualization</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">* Novel methods
on visualization-oriented data mining</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">* Visual
representations and interaction techniques of data mining results</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">* Data
management, knowledge representation, e.g., scalable data representations</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">* Mathematical
foundations and algorithms of data mining for visual analysis</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">* Analytical
reasoning including human analytic and collaborative visual analytics</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">* Evaluation
methods for data mining algorithms and visual analytics systems</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">* Applications
of visual analytics and data mining techniques, including but not limited to
applications in science, engineering, public safety, commerce, etc.</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif"> </span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">Submitted
manuscripts must be formatted in ACM Proceedings format (6 pages at most) and
must be submitted via DAVA 2016 workshop submission site as PDF files.
Submitted papers can be in all areas of Data Mining/Visual Analytics, but can
not have been previously published in or be under consideration for publication
in another journal or conference. The workshop Program Committee reserves the
right to not review papers that either exceed the length specification or have
been submitted or published elsewhere. Submissions must include a title,
abstract, keywords, author(s) and affiliation(s) with postal and e-mail
address(es).</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif"> </span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">Each submission
will receive at least three independent reviews from the international TPC. At
least one of the authors of every accepted paper must register and present
their work at CIKM 2016 workshop venue. The author of registered papers with an
outstanding quality will be invited to adapt their paper to a SCI-indexed
international journal subject to additional peer reviews. The DAVA 2016
organization committee will select one paper of the highest quality to receive
the DAVA 2016 best paper award ($300), based on both review scores and the
presentation excellence.</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif"> </span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">Organizers:</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">Lei Shi (Chinese
Academy of Sciences)</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">Hanghang Tong
(Arizona State University)</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">Chaoli Wang
(University of Notre Dame)</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">Leman Akoglu
(Stony Brook University)</span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif"> </span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif">More information
can be found in DAVA’16 Website: </span></p>

<p class="MsoNormal" align="left" style="background-image:initial;background-repeat:initial"><span lang="EN-US"><a href="http://vis.ios.ac.cn/DAVA16/" target="_blank"><span style="font-size:9.5pt;font-family:Arial,sans-serif">http://vis.ios.ac.cn/DAVA16/</span></a></span><span lang="EN-US" style="font-size:9.5pt;font-family:Arial,sans-serif"></span></p>

<p class="MsoNormal"><span lang="EN-US"> </span></p></div>