<div dir="ltr"><div dir="ltr"><div dir="ltr"><p class="MsoNormal" style="color:rgb(0,0,0);margin:0in 0in 0.0001pt;text-align:justify;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:12pt;font-family:"Times New Roman",serif">IEEE Big Data 2019 Call for Workshop Papers & Posters<span></span></span></b></p><p class="MsoNormal" style="color:rgb(0,0,0);margin:0in 0in 0.0001pt;text-align:justify;font-size:10.5pt;font-family:Century,serif"><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span></span></p><p class="MsoNormal" style="color:rgb(0,0,0);margin:0in 0in 0.0001pt;text-align:justify;font-size:10.5pt;font-family:Century,serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">2019 IEEE International Conference on Big Data (BigData 2019)<span></span></span></p><p class="MsoNormal" style="color:rgb(0,0,0);margin:0in 0in 0.0001pt;text-align:justify;font-size:10.5pt;font-family:Century,serif"><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span></span></p><p class="MsoNormal" style="color:rgb(0,0,0);margin:0in 0in 0.0001pt;text-align:justify;font-size:10.5pt;font-family:Century,serif"><a href="http://bigdataieee.org/BigData2019/" style="color:rgb(149,79,114);text-decoration:underline">http://bigdataieee.org/BigData2019/</a><span></span></p><p class="MsoNormal" style="color:rgb(0,0,0);margin:0in 0in 0.0001pt;text-align:justify;font-size:10.5pt;font-family:Century,serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Dec 9-12, 2019, Los Angeles, CA, USA<span></span></span></p><p class="MsoNormal" style="color:rgb(0,0,0);margin:0in 0in 0.0001pt;text-align:justify;font-size:10.5pt;font-family:Century,serif"><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span></span></p><p class="MsoNormal" style="color:rgb(0,0,0);margin:0in 0in 0.0001pt;text-align:justify;font-size:10.5pt;font-family:Century,serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">The IEEE Big Data 2019 has received more than 600 full papers in the main conference and industry and government program. If you miss the submission deadline, there are still chances for you to submit your research work to the IEEE Big Data 2019 workshops and Posters. The workshop papers and posters are published in the conference proceedings. (EI indexed)<span></span></span></p><p class="MsoNormal" style="color:rgb(0,0,0);margin:0in 0in 0.0001pt;text-align:justify;font-size:10.5pt;font-family:Century,serif"><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span></span></p><p class="gmail-MsoListParagraph" align="left" style="margin:0in 0in 0.0001pt 0.25in;text-align:left;font-size:10.5pt;font-family:Century,serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">(1)<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">  </span></span><b><span style="font-size:12pt;font-family:"Times New Roman",serif"> 44 Workshops (</span></b>Most of the workshop paper submission deadlines are early or middle October)<span style="font-size:12pt;font-family:"Times New Roman",serif"><span></span></span></p><table class="gmail-MsoNormalTable" border="0" cellpadding="0" width="1110" style="color:rgb(0,0,0);font-family:-webkit-standard;width:832.8pt"><tbody><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><br></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">1.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S01&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">Computational Archival Science: digital records in the age of big data</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">2.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S02&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">International Workshop on Big Data Analytics for Cyber Threat Hunting (CyberHunt 2019)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">3.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S03&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">The 2nd International Workshop on “Big Data Engineering and Analytics in Cyber-Physical Systems (BigEACPS)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">4.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S04&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">6th Workshop on Performance Engineering with Advances in Software and Hardware for Big Data Science (PEASH)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">5.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S05&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">5th International Workshop on Methodologies to Improve Managing Big Data projects</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">6.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S06&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">4th Workshop on Real-time and Stream Analytics in Big Data & Stream Data Management</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">7.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S07&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">Applications of Big Data Technology in the Transport Industry</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">8.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S08&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">The 3rd Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">9.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S09&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">Advances in High Dimensional (AdHD) Big Data (AdHD Big Data)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">10.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S10&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">BITS 2019: International Workshop on Big data for Intelligent Transportation Systems</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">11.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S11&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">8th Workshop on Scalable Cloud Data Management</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">12.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S12&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">5th IEEE Workshop on Big Data Analytics in Supply Chains and Transportation</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">13.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S13&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">Analysis of Large-scale Disparate Data</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">14.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S14&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">3rd IEEE Big Data International Workshop on Policy-based Autonomic Data Governance (PADG)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">15.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S15&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">The 4th IEEE International Workshop on Big Spatial Data (BSD 2019)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">16.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S16&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">The First International Workshop on Big Data Against Darknet Crimes</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">17.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S17&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">Second International Workshop on the Internet of Things Data Analytics (IOTDA)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">18.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S18&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">7th International Workshop on Distributed Storage and Blockchain Technologies for Big Data</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">19.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S19&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">The 3rd International Workshop on Big Data Analytic for Cybercrime Investigation and Prevention</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">20.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S20&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">The Third Annual Workshop on Applications of Artificial Intelligence in the Legal Industry</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">21.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S21&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">Big Data Predictive Maintenance using Artificial Intelligence</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">22.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S22&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">The 2nd International Workshop on Big Data for Marketing Intelligence and Operation Management</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">23.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S23&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">2nd Workshop on Energy-Efficient Machine Learning and Big Data Analytics</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">24.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S24&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">The First International Workshop on Big Data Tools, Methods, and Use Cases for Innovative Scientific Discovery (BTSD)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">25.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S25&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">The Third Human-in-the-loop Methods and Human-Machine Collaboration in BigData</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">26.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S26&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">4th Workshop on Open Science in Big Data (OSBD)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">27.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S27&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">3rd International Workshop on Big Data Analytics for Cyber Intelligence and Defense (BDA4CID 2018)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">28.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S28&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">Sixth International Workshop on High Performance Big Graph Data Management, Analysis, and Mining (BigGraphs 2019)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">29.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S29&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">Big Data Analytic Technology for Bioinformatics and Health Informatics (KDDBHI)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">30.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S30&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">The 3rd Workshop on Graph Techniques for Adversarial Activity Analytics (GTA3 3.0)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">31.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S31&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">5th Solar & Stellar Astronomy Big Data (SABiD) – Workshop on Management, Search and Mining of Massive Repositories of Solar and Stellar Astronomy Data</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">32.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S32&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">2nd Workshop on Big Data for CyberSecurity (BigCyber-2019)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">33.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S33&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">The 2nd International Workshop on Big Media Dataset Construction, Management and Applications</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">34.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S34&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">Big Food and Nutrition Data Management and Analysis (BFNDMA 2019)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">35.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S35&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">IoT Big Data 2019</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">36.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S36&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">The Third Workshop on Big Data for Economic and Business Forecasting</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">37.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S37&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">Deep Graph Learning: Methodologies and Applications (DGLMA'19)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">38.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S38&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">IEEE Workshop on Machine Learning for Big Data Analytics in Remote Sensing</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">39.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S39&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">The First Workshop on Security and Privacy on Blockchain</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">40.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S40&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">The 3rd International Workshop on Big Data for Financial News and Data</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">41.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S41&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">4th International Workshop on Big Data Transfer Learning (BDTL) -- Heterogeneous Representation and Networks</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">42.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S42&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">The next frontier of big data from LIDAR</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">43.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S43&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">Streaming Systems and Real-Time Machine Learning (STREAM-ML)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr><tr><td nowrap valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td width="7" style="width:5.55pt;padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><span style="font-size:9pt;font-family:Arial,sans-serif"><span> </span></span></p></td><td valign="top" style="padding:1.9pt"><p class="MsoNormal" align="right" style="text-align:right;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><b><span style="font-size:9pt;font-family:Arial,sans-serif">44.</span></b><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td><td style="padding:1.9pt"><p class="MsoNormal" align="left" style="text-align:left;margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Century,serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S44&undisplay_detail=1&wh=/cyberchair/2019/bigdata19/scripts/ws_submit.php" style="color:rgb(149,79,114);text-decoration:underline"><span style="font-size:9pt;font-family:Arial,sans-serif">6th International Workshop on Privacy and Security of Big Data (PSBD 2019)</span></a><span style="font-size:9pt;font-family:Arial,sans-serif"><span></span></span></p></td></tr></tbody></table><p class="gmail-MsoListParagraph" style="margin:0in 0in 0.0001pt 0.25in;text-align:justify;font-size:10.5pt;font-family:Century,serif"><span style="font-size:12pt;font-family:"Times New Roman",serif"><br></span></p><p class="gmail-MsoListParagraph" style="margin:0in 0in 0.0001pt 0.25in;text-align:justify;font-size:10.5pt;font-family:Century,serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">(2) <b>Po</b></span><b><span style="font-size:12pt;font-family:"Times New Roman",serif">ster </span></b><span style="font-size:12pt;font-family:"Times New Roman",serif">(<span style="color:red">Submission deadline: Nov 10</span>)<span></span></span></p><p class="MsoNormal" style="color:rgb(0,0,0);margin:0in 0in 0.0001pt;text-align:justify;font-size:10.5pt;font-family:Century,serif"><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span></span></p><p class="MsoNormal" style="color:rgb(0,0,0);margin:0in 0in 0.0001pt;text-align:justify;font-size:10.5pt;font-family:Century,serif">Poster abstracts are limited to one page, the format and style are flexible.  Posters will be reviewed on the basis of their relevance to the scope of the conference and on the scientific quality of the work presented. Each poster paper will be published with maximum up to 3-page limit in the poster/workshop proceedings (EI indexed). (format instruction for publication will be included with the poster acceptance notification)<span></span></p><p class="MsoNormal" style="color:rgb(0,0,0);margin:0in 0in 0.0001pt;text-align:justify;font-size:10.5pt;font-family:Century,serif"><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span></span></p><p class="MsoNormal" style="color:rgb(0,0,0);margin:0in 0in 0.0001pt;text-align:justify;font-size:10.5pt;font-family:Century,serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Online Submission:<span></span></span></p><p class="MsoNormal" style="color:rgb(0,0,0);margin:0in 0in 0.0001pt;text-align:justify;font-size:10.5pt;font-family:Century,serif"><span style="font-size:12pt;font-family:"Times New Roman",serif"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/index.php">https://wi-lab.com/cyberchair/2019/bigdata19/index.php</a><span></span></span></p><p class="MsoNormal" style="color:rgb(0,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