<div dir="ltr"><p><b>2016 IEEE International Conference on
Big Data (IEEE Big Data 2016) (<a href="http://cci.drexel.edu/bigdata/bigdata2016/">http://cci.drexel.edu/bigdata/bigdata2016/</a>)</b><b><span style="font-family:arial,sans-serif"><span></span></span></b></p>

<p><b><span style="font-family:calibri,sans-serif"> Dec 5-8 ,  2016</span> </b><b><span style="font-family:arial,sans-serif">●</span></b><b><span style="font-family:calibri,sans-serif">
Washington, DC, USA</span><span></span></b></p>

<p class="MsoNormal">The 2016 IEEE International Conference on Big Data (IEEE Big
Data 2016) will be held in Washington DC, Dec 5-8, 2016  (<b><a href="http://cci.drexel.edu/bigdata/bigdata2016/">http://cci.drexel.edu/bigdata/bigdata2016/</a>)</b>),
we would like to invite you to join  this
exciting event. We expect to have a very high quality program. The highlights
of the IEEE Big Data 2016 program are summarized as below <span></span></p>

<p class="MsoNormal" style="margin-left:0.5in">(1)<span style="font-variant-numeric:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"times new roman"">   
</span>High quality technical program:  <span style="color:red">79</span> regular
papers selected from <span style="color:red">423 </span>full paper submissions
from <span style="font-family:"times new roman",serif">1597 authors and
co-authors at 40 countries</span>.  (IEEE
Big Data is   a top-tier conference, regular paper acceptance
rate has been less than 20% since its inception). <span></span></p>

<p class="MsoNormal" style="margin-left:0.5in">(2)<span style="font-variant-numeric:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"times new roman"">   
</span><span style="color:red">6 confirmed keynote speeches by leading experts</span> <span></span></p>

<p class="MsoNormal" style="margin:0in 0in 0.0001pt 1in;line-height:normal"><strong><span style="font-family:symbol;font-weight:normal">·<span style="font-variant-numeric:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"times new roman"">        
</span></span></strong><b>Prof. Elisa Bertino</b>: Big Data
Security and Privacy<strong><span style="font-family:calibri,sans-serif"><span></span></span></strong></p>

<p class="MsoNormal" style="margin:0in 0in 0.0001pt 1in;line-height:normal"><span style="font-family:symbol">·<span style="font-variant-numeric:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"times new roman"">        
</span></span><b>Prof. Jiawei Han</b>:<span class="gmail-Heading4Char"><span style="font-size:12pt">    </span></span>On
the Power of Big Data: Mining Structures from Massive, <b><span></span></b></p>

<p class="MsoNormal" style="margin:0in 0in 0.0001pt 1in;line-height:normal"><b>                                    </b>Unstructured Text Data <strong><span style="font-family:calibri,sans-serif"><span></span></span></strong></p>

<p class="MsoNormal" style="margin:0in 0in 0.0001pt 1in;line-height:normal"><span class="gmail-Heading4Char"><span style="font-size:12pt;font-family:symbol">·<span style="font-variant-numeric:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"times new roman"">        
</span></span></span><b>Dr. Mark Johnson</b>:<span class="gmail-Heading4Char"><span style="font-size:12pt">
Leveraging High Performance Computing to Drive Advanced</span></span><span class="gmail-Heading4Char"><span style="font-size:12pt"><span></span></span></span></p>

<p class="MsoNormal" style="margin:0in 0in 0.0001pt 1in;line-height:normal"><b>                                    </b><span class="gmail-Heading4Char"><span style="font-size:12pt"> Manufacturing R&D at the US department of
Energy              </span></span><strong><span style="font-family:calibri,sans-serif"><span></span></span></strong></p>

<p class="MsoNormal" style="margin:0in 0in 0.0001pt 1in;line-height:normal"><span style="font-family:symbol">·<span style="font-variant-numeric:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"times new roman"">        
</span></span><b>Dr.
Michael Stonebraker</b>: Database Decay and How to Avoid It<span></span></p>

<p class="MsoNormal" style="margin:0in 0in 0.0001pt 1in;line-height:normal"><span style="font-family:symbol">·<span style="font-variant-numeric:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"times new roman"">        
</span></span><b>Dr.
Chaitanya Baru</b>: Harnessing the Data Revolution: A Perspective from the
National <span></span></p>

<p class="MsoNormal" style="margin:0in 0in 0.0001pt 1in;line-height:normal"><b>                                     </b>Science
Foundation<span></span></p>

<p class="MsoNormal" style="margin:0in 0in 0.0001pt 1in;line-height:normal"><span style="font-family:symbol">·<span style="font-variant-numeric:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"times new roman"">        
</span></span><b>Dr.
Guruduth Banavar</b>: TBD<span></span></p>

<p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><span> </span></p>

<p class="MsoNormal" style="margin-left:0.5in">(3)<span style="font-variant-numeric:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"times new roman"">   
</span>IEEE
Big Data 2016 Industry and Government program.  All the talks and discussions  reflect perspectives from industry on how to address
challenging big data issues relevant to industrial settings. <span></span></p>

<p class="MsoNormal" style="margin-left:0.5in">(4)<span style="font-variant-numeric:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"times new roman"">   
</span>Special Symposium on Data Analytics for Advanced
Manufacturing, <a href="http://cci.drexel.edu/bigdata/bigdata2016/SpecialSymposium.html">http://cci.drexel.edu/bigdata/bigdata2016/SpecialSymposium.html</a><span></span></p>

<p class="MsoNormal" style="margin-left:0.5in">(5)<span style="font-variant-numeric:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"times new roman"">   
</span>28<span style="color:red">  </span>workshops cover many emerging new
research directions in big data  <span></span></p>

<p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.5in;line-height:normal">(6)<span style="font-variant-numeric:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"times new roman"">    </span><span style="color:red">5 Tutorials, poster program etc.</span><span></span></p>

<p class="MsoNormal" style="margin:0in 0in 0.0001pt 1in;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-family:symbol">·<span style="font-variant-numeric:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"times new roman"">        
</span></span>Tutorial 1: Large Scale Text Mining – Techniques and Applications<span></span></p>

<h4 style="margin:0in 0in 0.0001pt 1in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:11pt;font-family:symbol;font-weight:normal">·<span style="font-variant-numeric:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"times new roman"">        
</span></span><span style="font-size:11pt;font-family:calibri,sans-serif;font-weight:normal">Tutorial
2: Trajectory Data Mining<span></span></span></h4>

<h4 style="margin:0in 0in 0.0001pt 1in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:11pt;font-family:symbol;font-weight:normal">·<span style="font-variant-numeric:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"times new roman"">        
</span></span><span style="font-size:11pt;font-family:calibri,sans-serif;font-weight:normal">Tutorial
3: Large Scale Matrix Factorization<span></span></span></h4>

<h4 style="margin:0in 0in 0.0001pt 1in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:11pt;font-family:symbol;font-weight:normal">·<span style="font-variant-numeric:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"times new roman"">        
</span></span><span style="font-size:11pt;font-family:calibri,sans-serif;font-weight:normal">Tutorial
4: Dynamic Big Data Processing in the Web of Things: Challenges, Opportunities <span></span></span></h4>

<h4 style="margin:0in 0in 0.0001pt 1in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:11pt;font-family:calibri,sans-serif;font-weight:normal">                     and Success Stories<span></span></span></h4>

<h4 style="margin:0in 0in 0.0001pt 1in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:11pt;font-family:symbol;font-weight:normal">·<span style="font-variant-numeric:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"times new roman"">        
</span></span><span style="font-size:11pt;font-family:calibri,sans-serif;font-weight:normal">Tutorial
5: Anomalous and Significant Subgraph Detection in Attributed Networks<span></span></span></h4>

<p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal">                              <a href="http://cci.drexel.edu/bigdata/bigdata2016/Tutorial.html">http://cci.drexel.edu/bigdata/bigdata2016/Tutorial.html</a><span></span></p>

<p class="MsoNormal"><span> </span></p>

<p class="MsoNormal"><span> </span></p>

<p class="MsoNormal">Please register at<span></span></p>

<p class="MsoNormal"><b><a href="http://www.cvent.com/events/2016-ieee-international-conference-on-big-data-big-data-/event-summary-185d6b2a9fa4495da248c8cb1da88f0f.aspx">http://www.cvent.com/events/2016-ieee-international-conference-on-big-data-big-data-/event-summary-185d6b2a9fa4495da248c8cb1da88f0f.aspx</a><span></span></b></p>

<p class="MsoNormal">The regular registration package includes two lunches, one
banquet,  coffee breaks, the conference
proceedings and all the technical presentations (keynote, paper presentation ,
tutorials, posters, workshops.  We also
offer one-day registration too. <span></span></p>

<p class="MsoNormal"><span> </span></p></div>
<br>
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