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<!DOCTYPE HTML>
<html lang="en-US">
<head>
<meta charset="UTF-8">
<title>DAVA 2016</title>
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<ul>
<li>
<a href="index.html">HOME</a>
</li>
<li>
<a href="cfp.html">CALL FOR PAPERS</a>
</li>
<li>
<a href="dates.html">IMPORTANT DATES</a>
</li>
<li>
<a href="speakers.html">KEYNOTE</a>
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<li>
<a href="program.html" class="active">PROGRAM</a>
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<h1 class="title">PROGRAM</h1>
<div class="maintext">
<div id="ptitle">
<div class="maintitle">Workshop on DAta mining meets Visual Analytics at big data era (DAVA’16)</div>
<div>Lei Shi, Hanghang Tong, Chaoli Wang, Leman Akoglu</div>
<div class="placeTime">Room Regency A&B, Hyatt Regency, Indianapolis, 2:00pm~5:30pm, Oct. 28, 2016</div>
</div>
<p>
The world is awash with big data now – we are generating ten exabytes of data in a variety of different forms every day. In this wave, there is a trend to integrate the data mining methods with interactive visualizations to advance the so-called visual analytics (VA) technology. Various aspects of the data mining method need to be inspected, justified, organized and evaluated for a successful VA system. This workshop will bring together interdisciplinary researchers from academy, labs and practice to share, exchange, learn, develop preliminary results, new concepts and methodologies in applying data mining method to help advance the VA technology.
</p>
<table>
<tr>
<td>2:00 - 3:30</td>
<td>
<div>
<div class="topic">DAVA’16 Opening Remarks</div>
<br />
<div class="topic">Keynote Talk Session 1 (Chair: Chaoli Wang)</div>
<br />
<div class="topic">Visual Analytics of Human Brain Connectome</div>
<div class="author">Shiaofen Fang, IUPUI</div>
<br />
<div class="topic">Visual Analysis in China AI 2.0</div>
<div class="author">Wei Chen, Zhejiang University</div>
</div>
</td>
</tr>
<tr>
<td>3:30 - 3:45</td>
<td>
<div>
<div class="topic">DAVA Paper Session 1 (Chair: Chaoli Wang)</div>
<br />
<div class="topic">A Framework for Interactive t-SNE Clustering</div>
<div class="author">Jared Bond, Christan Grant, Josh Imbriani and Erik Holbrook</div>
</div>
</td>
</tr>
<tr>
<td>3:45 - 4:00</td>
<td>Coffee break</td>
</tr>
<tr>
<td>4:00 - 4:45</td>
<td>
<div>
<div class="topic">Keynote Talk 2 (Chair: Lei Shi)</div>
<br />
<div class="topic">Deconstructing Graphs by Learning their Grammars</div>
<div class="author">Tim Weninger, University of Notre Dame</div>
</div>
</td>
</tr>
<tr>
<td>4:45 - 5:30</td>
<td>
<div>
<div class="topic">DAVA Paper Session 2 (Chair: Lei Shi)</div>
<br />
<div class="topic">Exploration of Linked Anomalies in Sensor Data for Suspicious Behavior Detection</div>
<div class="author">Ian Turk, Matthew Sinda, Xin'An Zhou, Jun Tao, Chaoli Wang and Qi Liao</div>
<br />
<div class="topic">Visual Comparison of Customer Stickiness in Retail Stores</div>
<div class="author">Tao Jiang, Lei Shi, Ye Zhao, Xiatian Zhang and Yao Lu</div>
<br />
<div class="topic">Visualization for Knowledge Graph Based on Education Data</div>
<div class="author">Kai Sun, Yuhua Liu, Zongchao Guo and Changbo Wang</div>
<br />
<div class="topic">DAVA’16 Closing</div>
</div>
</td>
</tr>
<tr>
<td>2:00 - 5:30</td>
<td>
<div>
<div class="topic">DAVA Poster Session</div>
<br />
<div class="topic">Comparison of Clustered Force-directed Graph Drawing for Large Dataset Visual Analytics</div>
<div class="author">Jie Hua, Jie Liang and Maolin Huang</div>
<br />
<div class="topic">Performance Histogram Curve: Abstractive Visualization and Analysis of NBA Games</div>
<div class="author">Biao Zhu and Wei Chen</div>
<br />
<div class="topic">Mining frequent patterns of personal trajectory based on base station data</div>
<div class="author">Qi Shuai, Shan Guihua, Tian Dong, Dong Bin and Jiang Shanshan</div>
</div>
</td>
</tr>
</table>
</div>
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