<div dir="ltr"><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b><span style="font-size:22pt">Call for Papers<span></span></span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b><span style="font-size:14pt">2018 IEEE International Conference on Big Data (IEEE Big Data 2018)<span></span></span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span lang="IT"><a href="http://cci.drexel.edu/bigdata/bigdata2018/index.html">http://cci.drexel.edu/bigdata/bigdata2018/index.html</a><span></span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span lang="IT">December 10-13, 2018, Seattle, WA, USA<span></span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span lang="IT"> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span style="font-size:11pt">In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself. </span><span style="font-size:11pt;font-family:Cambria,serif">The IEEE Big Data conference series started in 2013 has established itself as the top tier research conference in Big Data.</span><span style="font-size:11pt;font-family:Calibri,sans-serif"></span><span style="font-size:11pt;font-family:Cambria,serif"> </span><span style="font-size:11pt;font-family:Calibri,sans-serif"><span></span></span></p><p class="gmail-MsoListParagraphCxSpFirst" style="margin:0in 0in 0.0001pt 0.5in;font-size:12pt;font-family:"Times New Roman",serif"><span style="font-size:11pt;font-family:Symbol">·<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span></span><span style="font-size:11pt;font-family:Cambria,serif">The first conference IEEE Big Data 2013 had more than 400 registered participants from 40 countries (<span class="gmail-apple-converted-space"> </span></span><span class="gmail-MsoHyperlink" style="font-family:"Times New Roman",serif;color:blue;text-decoration:underline"><span style="font-size:11pt;font-family:Cambria,serif"><a href="http://cci.drexel.edu/bigdata/bigdata2013/" style="color:purple;font-family:"Times New Roman",serif;text-decoration:underline">http://cci.drexel.edu/bigdata/bigdata2013/</a>)</span></span><span class="gmail-apple-converted-space"><span style="font-size:11pt;font-family:Cambria,serif"> and the </span></span><span style="font-size:11pt;font-family:Cambria,serif">regular paper acceptance rate is 17.0%.</span><span style="font-size:11pt;font-family:Calibri,sans-serif"><span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.5in;font-size:12pt;font-family:"Times New Roman",serif"><span style="font-family:Symbol;color:black">·<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span></span><span style="color:black">The IEEE Big Data 2017 (<span class="gmail-apple-converted-space"> </span></span><a href="http://cci.drexel.edu/bigdata/bigdata2017/">http://cci.drexel.edu/bigdata/bigdata2017/</a><span class="gmail-apple-converted-space"><span style="color:black"> </span></span><span style="color:black">, regular paper acceptance rate: 17.8%) was held in Boston, MA, Dec 11-14, 2017 with close to 1000 registered participants from 50 countries.<span></span></span></p><p class="gmail-MsoListParagraphCxSpLast" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt 0.5in;font-family:"Times New Roman",serif"><span style="font-size:11pt;font-family:Calibri,sans-serif"><span> </span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"> The 2018 IEEE International Conference on Big Data (IEEE Big Data 2018) will continue the success of the previous IEEE Big Data conferences. It will provide a leading forum for disseminating the latest results in Big Data Research, Development, and Applications. <span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span style="font-family:Verdana,sans-serif;color:rgb(34,34,34)"><span> </span></span></p><p class="gmail-MsoPlainText" style="color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Consolas"><span style="font-size:12pt;font-family:"Times New Roman",serif">We solicit high-quality original research papers (and significant work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific and engineering, social, sensor/IoT/IoE, and multimedia (audio, video, image, etc.) big data systems and applications. Wee expect to have a very high quality and exciting technical program at Seattle this year. So far we have 5 leading researchers confirmed as keynote speakers, 9 tutorials and 40 workshops covering all the important and emerging topics of big data research and application, <b><i>Example topics of interest includes but is not limited to the following</i></b>:<span></span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span style="font-family:Verdana,sans-serif;color:rgb(34,34,34)"><span> </span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.25in;text-align:justify;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>Big Data Science and Foundations<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;text-align:justify;font-size:12pt;font-family:"Times New Roman",serif">a.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Novel Theoretical Models for Big Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;text-align:justify;font-size:12pt;font-family:"Times New Roman",serif">b.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>New Computational Models for Big Data <span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;text-align:justify;font-size:12pt;font-family:"Times New Roman",serif">c.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Data and Information Quality for Big Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;text-align:justify;font-size:12pt;font-family:"Times New Roman",serif">d.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>New Data Standards<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.25in;text-align:justify;font-size:12pt;font-family:"Times New Roman",serif">2.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Big Data Infrastructure<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">a.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Cloud/Grid/Stream Computing for Big Data <span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">b.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>High Performance/Parallel Computing Platforms for Big Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">c.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">d.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Energy-efficient Computing for Big Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">e.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data <span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">f.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Software Techniques and Architectures in Cloud/Grid/Stream Computing<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">g.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Big Data Open Platforms<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">h.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>New Programming Models for Big Data beyond Hadoop/MapReduce, STORM <span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">i.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Software Systems to Support Big Data Computing<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.25in;font-size:12pt;font-family:"Times New Roman",serif">3.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Big Data Management<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">a.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">b.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Algorithms and Systems for Big DataSearch<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">c.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Distributed, and Peer-to-peer Search<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">d.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Big Data Search Architectures, Scalability and Efficiency<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">e.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Data Acquisition, Integration, Cleaning, and Best Practices<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">f.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Visualization Analytics for Big Data <span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">g.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Computational Modeling and Data Integration <span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">h.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Large-scale Recommendation Systems and Social Media Systems<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">i.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Cloud/Grid/Stream Data Mining- Big Velocity Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">j.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Link and Graph Mining<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">k.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Semantic-based Data Mining and Data Pre-processing<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">l.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Mobility and Big Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">m.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Multimedia and Multi-structured Data- Big Variety Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.5in;font-size:medium;color:rgb(0,0,0);font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.25in;font-size:12pt;font-family:"Times New Roman",serif">4.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Big Data Search and Mining<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">a.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Social Web Search and Mining<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">b.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Web Search<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">c.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Algorithms and Systems for Big Data Search<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">d.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Distributed, and Peer-to-peer Search<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">e.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Big Data Search Architectures, Scalability and Efficiency<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">f.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Data Acquisition, Integration, Cleaning, and Best Practices<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">g.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Visualization Analytics for Big Data <span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">h.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Computational Modeling and Data Integration <span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">i.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Large-scale Recommendation Systems and Social Media Systems<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">j.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Cloud/Grid/StreamData Mining- Big Velocity Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">k.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Link and Graph Mining<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">l.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Semantic-based Data Mining and Data Pre-processing<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">m.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Mobility and Big Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;text-align:justify;font-size:12pt;font-family:"Times New Roman",serif">n.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Multimedia and Multi-structured Data- Big Variety Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:medium;color:rgb(0,0,0);text-align:justify;font-family:"Times New Roman",serif"><span> </span></p><p class="gmail-MsoListParagraphCxSpFirst" style="margin:0in 0in 0.0001pt 0.25in;font-size:12pt;font-family:"Times New Roman",serif">5.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span><span lang="EN-GB">Big Data Security, Privacy and Trust</span><span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">a.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span><span lang="EN-GB">Intrusion Detection for Gigabit Networks </span><span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">b.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span><span lang="EN-GB">Anomaly and APT Detection in Very Large Scale Systems</span><span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">c.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span><span lang="EN-GB">High Performance Cryptography </span><span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">d.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span><span lang="EN-GB">Visualizing Large Scale Security Data</span><span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif"><span class="gmail-apple-style-span">e.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span></span><span class="gmail-apple-style-span">Threat Detection using Big Data Analytics<span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif"><span lang="EN-GB">f.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span></span><span lang="EN-GB">Privacy Threats of Big Data<span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif"><span lang="EN-GB">g.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span></span><span lang="EN-GB">Privacy Preserving Big Data Collection/Analytics<span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif"><span lang="EN-GB">h.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span></span><span lang="EN-GB">HCI Challenges for Big Data Security & Privacy<span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif"><span lang="EN-GB">i.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span></span><span lang="EN-GB">User Studies for any of the above<span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">j.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span><span lang="EN-GB">Sociological Aspects of Big Data Privacy</span><span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">k.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span><span lang="EN-GB">Trust management in IoT and other Big Data Systems</span><span></span></p><p class="gmail-MsoListParagraphCxSpLast" style="margin:0in 0in 0.0001pt 0.25in;font-size:medium;color:rgb(0,0,0);text-align:justify;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="gmail-MsoListParagraphCxSpFirst" style="margin:0in 0in 0.0001pt 0.25in;text-align:justify;font-size:12pt;font-family:"Times New Roman",serif">6.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span>Big Data Applications<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.05in 0.75in;line-height:15.6pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="color:black">a.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span></span><span style="color:black">Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication<span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.05in 0.75in;line-height:15.6pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="color:black">b.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span></span><span style="color:black">Big Data Analytics in Small Business Enterprises (SMEs),<span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.05in 0.75in;line-height:15.6pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="color:black">c.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span></span><span style="color:black">Big Data Analytics in Government, Public Sector and Society in General<span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.05in 0.75in;line-height:15.6pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="color:black">d.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span></span><span style="color:black">Real-life Case Studies of Value Creation through Big Data Analytics<span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.05in 0.75in;line-height:15.6pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="color:black">e.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span></span><span style="color:black">Big Data as a Service<span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.05in 0.75in;line-height:15.6pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="color:black">f.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span></span><span style="color:black">Big Data Industry Standards<span></span></span></p><p class="gmail-MsoListParagraphCxSpLast" style="margin:0in 0in 0.05in 0.75in;line-height:15.6pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="font-family:Verdana,sans-serif">g.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman""> </span></span><span style="color:black">Experiences with Big Data Project Deployments</span><span style="font-family:Verdana,sans-serif"><span></span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span style="font-family:Verdana,sans-serif;color:rgb(34,34,34)"><span> </span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b><span style="font-size:14pt">INDUSTRIAL Track<span></span></span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">The Industrial Track solicits papers describing implementations of Big Data solutions relevant to industrial settings. The focus of industry track is on papers that address the practical, applied, or pragmatic or new research challenge issues related to the use of Big Data in industry. We accept full papers (up to 10 pages) and extended abstracts (2-4 pages).<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><i><span style="font-size:11.5pt"><span> </span></span></i></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b><span style="font-size:14pt">Student Travel Award<span></span></span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">IEEE Big Data 2018 will offer<b>student travel </b>to student authors (including post-docs) <span></span></p><p class="gmail-MsoListParagraph" style="margin:0in 0in 0.0001pt 0.75in;font-size:medium;color:rgb(0,0,0);text-align:justify;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b><span lang="DE"> </span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b><u>Paper Submission</u>:<span></span></b></p><p class="gmail-default" style="font-size:medium;margin-right:0in;margin-left:0in;font-family:"Times New Roman",serif;color:black">Please submit a full-length paper (up to <b><span style="color:red">10 page IEEE 2-column format</span></b>) through the online submission system. <span></span></p><p class="gmail-default" style="font-size:medium;margin-right:0in;margin-left:0in;font-family:"Times New Roman",serif;color:black"><span class="gmail-MsoHyperlink" style="font-family:"Times New Roman",serif;color:blue;text-decoration:underline"><a href="https://wi-lab.com/cyberchair/2018/bigdata18/scripts/submit.php?subarea=BigD" style="color:purple;font-family:"Times New Roman",serif;text-decoration:underline">https://wi-lab.com/cyberchair/2018/bigdata18/scripts/submit.php?subarea=BigD</a></span><span></span></p><p class="gmail-default" style="font-size:medium;margin-right:0in;margin-left:0in;font-family:"Times New Roman",serif;color:black">Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see link to "formatting instructions" below).<br><span style="font-size:9pt;font-family:Arial,sans-serif"><br></span><strong style="font-family:"Times New Roman",serif">Formatting Instructions</strong><br>8.5" x 11" (<span class="gmail-MsoHyperlink" style="font-family:"Times New Roman",serif;color:blue;text-decoration:underline"><a href="ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.doc" style="color:purple;font-family:"Times New Roman",serif;text-decoration:underline">DOC</a></span>,<span class="gmail-MsoHyperlink" style="font-family:"Times New Roman",serif;color:blue;text-decoration:underline"><a href="ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.pdf" style="color:purple;font-family:"Times New Roman",serif;text-decoration:underline">PDF</a></span>)<br><strong style="font-family:"Times New Roman",serif"><u><span style="color:rgb(0,28,81)"><a href="ftp://pubftp.computer.org/Press/Outgoing/proceedings/IEEE_CS_Latex8.5x11x2.zip" style="color:purple;font-family:"Times New Roman",serif;text-decoration:underline"><span style="color:rgb(0,28,81)">LaTex Formatting Macros</span></a></span></u></strong><span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b>Important Dates:</b><span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Electronic submission of full papers: August 19, 2018<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Notification of paper acceptance: Oct 16, 2018<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Camera-ready of accepted papers: Nov 10, 2018<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Conference: Dec 10-13, 2018<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Conference co-chairs:<span style="font-size:11pt"><span></span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><strong style="font-family:"Times New Roman",serif">Dr. Donald Kossmann</strong> Microsoft Research, USA<br><strong style="font-family:"Times New Roman",serif">Prof. Bing Liu</strong> University of Illinois at Chicago, USA<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">PC Co-chairs<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><strong style="font-family:"Times New Roman",serif">Dr. Naoki Abe</strong> IBM T.J. Watson Research Center, USA<br><strong style="font-family:"Times New Roman",serif">Prof. Huan Liu</strong> Arizona State University, USA<br><strong style="font-family:"Times New Roman",serif">Prof. Calton Pu</strong> Georgia Institute of Technology, USA<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Industry and government program committee chairs<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><strong style="font-family:"Times New Roman",serif">Dr. Nesreen Ahmed</strong> Intel Labs, USA<br><strong style="font-family:"Times New Roman",serif">Dr. Mu Qiao</strong> IBM Almaden Research Center, USA<br><strong style="font-family:"Times New Roman",serif">Dr. Yang Song</strong> Google Seattle Lab, USA<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p></div>
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