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<p class="MsoPlainText">***** CALL FOR PAPERS *****<o:p></o:p></p>
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<p class="MsoNormal">[Informatics] (ISSN 2227-9709) Special Issue
"Progressive Visual Analytics" <o:p></o:p></p>
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<p class="MsoNormal"><span class="si-deadline">Deadline for
manuscript submissions: <b>28 January 2019</b></span><o:p></o:p></p>
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<o:p></o:p></p>
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This Special Issue of the Informatics Journal welcomes submissions
on the topic of Progressive Visual Analytics (PVA). PVA is
motivated by both data size and complexity and computationally
expensive analysis methods. The main idea behind PVA is to produce
a sequence of partial results, either subdividing the data into
chunks that are individually processed or designing the analytic
process into computational steps that iteratively refine the
analytic results. Using such strategies allows a PVA application
to meet specific time constraints, which can range from tenths of
seconds, to ensure interaction fluidity, to minutes or hours, to
complete sub-tasks within application dependent timeframes.
Dealing with partial results of increasing completeness and
correctness calls for effective methods that inform the user of
the usefulness and completeness of the intermediated results they
are forced to deal with using a PVA solution.<br>
<br>
<o:p></o:p>
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<p>We encourage authors to submit their original research
articles, works in progress, surveys, reviews, and viewpoint
articles in this field. This Special Issue welcomes
applications, theories, models, and frameworks—whether
conceptual, analytical, prescriptive, predictive,
design-related, or otherwise—that are concerned with (but not
limited to) the following topics as they relate to PVA:</p>
<ul>
<li>Adaptive data sampling/chunking</li>
<li>Approximate computation</li>
<li>Approximation</li>
<li>Clustering</li>
<li>Computational steering</li>
<li>Continuous interaction</li>
<li>Data subdivision</li>
<li>Device adaptation</li>
<li>Dimension reduction</li>
<li>Human–computer interaction</li>
<li>Incremental computation</li>
<li>Incremental visualization</li>
<li>Infrastructure</li>
<li>Interaction</li>
<li>Interaction traces</li>
<li>Interactive algorithms</li>
<li>Interactive exploration</li>
<li>Latency</li>
<li>Multi-threading</li>
<li>On line algorithms</li>
<li>Partial results approximation and significance</li>
<li>Partial results characterization and management</li>
<li>Progressive data analysis</li>
<li>Progressive data querying</li>
<li>Progressive refinement</li>
<li>Progressive visualization</li>
<li>Real time interaction</li>
<li>Real time updating</li>
<li>Toolkit</li>
<li>Uncertainty</li>
<li>Uncertainty and approximation visualization</li>
</ul>
<p>Prof. Giuseppe Santucci<br>
<em>Guest Editor</em></p>
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<p class="MsoNormal">=== Submission guidelines ===<o:p></o:p></p>
<a class="moz-txt-link-freetext" href="http://www.mdpi.com/journal/informatics/special_issues/Progressive_Visual_Analytics">http://www.mdpi.com/journal/informatics/special_issues/Progressive_Visual_Analytics</a><br>
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<p class="MsoNormal"><br>
<o:p><span class="moz-txt-tag">-- <br>
</span>Prof. Giuseppe Santucci
<br>
Dipartimento di Ingegneria Informatica Automatica e Gestionale
Antonio Ruberti
<br>
CIS Sapienza
<br>
Sapienza Universita' di Roma
<br>
Via Ariosto, 25 - 00185 Roma, Italy
<br>
<br>
Phone : +39 06 77274006
<br>
Fax : +39 06 77274007
<br>
Fax : +39 06 77274002 (if the above number does not work...)
<br>
<br>
E-mail : <a class="moz-txt-link-abbreviated"
href="mailto:santucci@dis.uniroma1.it">santucci@dis.uniroma1.it</a>
<br>
URL : <a class="moz-txt-link-freetext"
href="http://www.diag.uniroma1.it/%7Esantucci/">http://www.diag.uniroma1.it/~santucci/</a>
<br>
<br>
URL DIDATTICA : <a class="moz-txt-link-freetext"
href="http://www.diag.uniroma1.it/%7Esantucci/didattica.html">http://www.diag.uniroma1.it/~santucci/didattica.html</a>
<br>
RICEVIMENTO STUDENTI : Via Ariosto 25 stanza B218 - luned
14:30 - 16:30
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