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<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:10pt;font-family:"Arial",sans-serif">[Apologies
if you got multiple copies of this invitation]<span></span></span></p>
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<p class="MsoNormal" style="text-align:center;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif" align="center"><b><span style="font-size:13.5pt;font-family:"Times New Roman",serif;color:rgb(0,0,64)"><span> </span></span></b></p>
<p class="MsoNormal" style="text-align:center;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif" align="center"><b><span style="font-size:13.5pt;font-family:"Times New Roman",serif;color:rgb(0,0,64)">The Third International Workshop on Data
Science Engineering and its Applications (DSEA 2019)<span></span></span></b></p>
<p class="MsoNormal" style="text-align:center;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif" align="center"><b><span style="font-size:16pt;font-family:"Times New Roman",serif"><a href="http://emergingtechnet.org/DSEA2019/" style="color:rgb(5,99,193);text-decoration:underline" target="_blank">http://emergingtechnet.org/DSEA2019/</a><span></span></span></b></p>
<p class="MsoNormal" style="text-align:center;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif" align="center"><b><span style="font-size:12pt;font-family:"Times New Roman",serif;color:rgb(0,0,64)">in conjunction with</span></b><span style="font-size:12pt;font-family:"Times New Roman",serif"><span></span></span></p>
<p class="MsoNormal" style="text-align:center;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif" align="center"><b><u><span style="font-size:13.5pt;font-family:"Times New Roman",serif;color:rgb(41,145,214)">The Sixth IEEE International
Conference on Social Networks Analysis, Management and Security(SNAMS-2019)<span></span></span></u></b></p>
<p class="MsoNormal" style="text-align:center;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif" align="center"><b><span style="font-size:13.5pt;font-family:"Times New Roman",serif;color:rgb(0,0,64)">Granada, Spain. October 22-25, 2019</span></b><span style="font-size:12pt;font-family:"Times New Roman",serif"> <span></span></span></p>
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<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif"> <span></span></span></p>
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<p class="MsoNormal" style="text-align:justify;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><u><span style="font-size:12pt" lang="EN-GB">Call for Papers:<span></span></span></u></p>
<p class="MsoNormal" style="text-align:justify;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Today, Data is becoming an increasingly decisive
resource in modern societies, economies, and governmental organizations. Data
science inspires novel techniques and theories drawn from mathematics,
statistics, information theory, computer science, and social science. It
involves many domains, such as signal processing, probability models, machine
learning, data mining, database, data engineering, pattern recognition,
visualization, predictive analytic, data warehousing, data compression,
computer programming, etc. High Performance Computing typically deals with
smaller, highly structured data sets and huge amounts of computation. Data
Science has emerged to tackle the problem of creating processes and approaches
to extracting knowledge or insights from gigantic, unstructured data sets.<span></span></span></p>
<p class="MsoNormal" style="text-align:justify;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">The Third International Workshop for Data Science
Engineering and Applications (DSEA 2019) aims to provide a forum that brings
together researchers, industry practitioners and domain experts for discussion
and exchange of ideas on the latest theoretical developments in Data Science
and Computing as well as on the best practices for a wide range of
applications. <span></span></span></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><b><span style="font-size:12pt;font-family:"Times New Roman",serif;color:rgb(0,0,64)">Topics
of interest </span></b><b><span style="font-size:12pt;font-family:"Times New Roman",serif"><br>
</span></b><span style="font-size:12pt;font-family:"Times New Roman",serif">==============
<br>
Authors are encouraged to submit their original work, which is not submitted
elsewhere, to this workshop. The topics of the workshop include but not limited
to:<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Big Data
Mining and Knowledge Management <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;line-height:107%;font-family:Symbol">·</span><span style="font-size:12pt;line-height:107%;font-family:"Times New Roman",serif"><span>
</span>Architecture, management and process for Data Science <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Evaluation and
Measurement in Data Science <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Privacy and
protection standards and policies for Data Science <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Data Quality <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Data science
for the internet of things (IoT) <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Management
Issues of Social Network Big Data <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Big Data
Computing for Data science/li> <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Social Network
and Big Data Analytics <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Open Source
tools for Data Science and Big Data <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Data Mining
for Data science <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span></span><span style="font-size:12pt;font-family:"Times New Roman",serif">High
performance computing for data analytic<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Mathematical Issues in Data Science and
Applications <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Cloud Computing for Big Data and Social
Networks <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Data Science and Big Data for the Internet of
Things <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Data Science and Big Data Management for
Large-scale databases <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Data Science and Big Data for Decision Making
<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Visualization tools for Data Science and Big
Data <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Data-driven Scientific Research <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Data warehouses and cloud computing support
for Data Science <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:Symbol">·</span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Case studies<span></span></span></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><b><span style="font-size:12pt;font-family:"Times New Roman",serif;color:rgb(0,0,64)">Paper
Submission : </span></b><a name="m_6573674677312270729_m_163737826603370914__submission"><span style="font-size:12pt;font-family:"Times New Roman",serif"><br>
=============<span></span></span></a></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span><span style="font-size:12pt;font-family:"Times New Roman",serif">Authors are requested to submit
papers reporting original research results and experience. The page limit for
full papers is 6 pages. Papers should be prepared using IEEE two-column
template. <span></span></span></span></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span><span style="font-size:12pt;font-family:"Times New Roman",serif">IEEE Computer Society Proceedings
Author Guidelines are available at: </span></span><a href="http://www.computer.org/portal/web/cscps/submission" style="color:rgb(5,99,193);text-decoration:underline" target="_blank"><span><span style="font-size:12pt;font-family:"Times New Roman",serif;color:blue">IEEE Guidelines Link</span></span></a><span><span style="font-size:12pt;font-family:"Times New Roman",serif"> <span></span></span></span></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span><span style="font-size:12pt;font-family:"Times New Roman",serif">Papers should be submitted as PDF
files via the EasyChair</span></span><span style="font-size:12pt;font-family:"Times New Roman",serif">.<span></span></span></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Submitted
research papers may not overlap with papers that have already been published or
that are simultaneously submitted to a journal or a conference. All papers
accepted for this conference are peer-reviewed and are to be published in the
conference proceedings and will be submitted for inclusion into the IEEE Xplore
Digital Library. <span></span></span></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><b><span style="font-size:12pt;font-family:"Times New Roman",serif;color:rgb(0,0,64)">Important
Dates : </span></b><a name="m_6573674677312270729_m_163737826603370914__dates"></a><span style="font-size:12pt;font-family:"Times New Roman",serif"><br>
=============<span></span></span></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><b><span style="font-size:12pt;font-family:"Times New Roman",serif;color:red">Full
Paper Submission:</span></b><span style="font-size:12pt;font-family:"Times New Roman",serif;color:red">
1 July, 2019 </span><span style="font-size:12pt;font-family:"Times New Roman",serif"><br>
<b>Notification of Decision:</b> 20 August, 2019<br>
<b>Camera-Ready and Registration :</b> 5th September, 2019<span></span></span></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span></span></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-GB">Please send any inquiry to the Emerging
Tech. Network Team at: <a href="mailto:emergingtechnetwork@gmail.com" style="color:rgb(5,99,193);text-decoration:underline" target="_blank">emergingtechnetwork@gmail.com</a></span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span></span></span></p>
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