<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><div>The 1st Workshop on Big-Data Visualization</div><div>in conjunction with IEEE BigData 2013</div><div>October 6, 2013, Santa Clara, CA </div><div><a href="http://vis.ucdavis.edu/Workshops/BigDataVis2013">http://vis.ucdavis.edu/Workshops/BigDataVis2013</a></div><div><br></div><div>Advanced instrument, computing, and imaging technologies enable scientists to study natural and physical phenomena at unprecedented precision, resulting in an explosive growth of data. The size of the collected information about the Web and mobile device users is even greater. The ability to make sense and maximize utilization of such vast amounts of data for knowledge discovery and decision-making is crucial to scientific advancement, business success, clinical treatments, cyber and national security, and disaster management. To provide this ability, we need new tools beyond conventional data mining and statistical analysis. Visualization is one such tool and shown to be effective for gleaning insight in big data. However, it is important that this crucial technology will properly address the challenges and match the needs of the users. This workshop, collocated with the first IEEE International Conference on Big Data (<a href="http://www.ischool.drexel.edu/bigdata/bigdata2013/">http://www.ischool.drexel.edu/bigdata/bigdata2013/</a>), will bring big data producers and users together with visualization researchers and practitioners, and foster greater exchange between them. Attendees will be introduced to the latest and greatest research innovations in big data visualization, and also learn how these innovations may impact decision making and knowledge discovery in real-world applications.The Workshop will consist of both invited and contributed talks, along with a panel discussion session. We solicit papers on both original research and practice of big data visualization and analysis. Topics include but not limited to:</div><div><ul><li>Streaming data visualization</li><li>Visual data mining</li><li>Visual search and recommendation</li><li>Big data storytelling using visualization</li><li>Scalable parallel visualization methods</li><li>Advanced hardware and architecture for data visualization and analysis</li><li>HCI and big data visualization</li><li>Big data visualization applications including cyber intelligence, cyber security, business intelligence, e-commerce, scientific data analysis, education, etc.</li></ul><p>Accepted papers will appear in the IEEE Digital Library. </p></div><div>Important Dates:</div><div>Paper Submission July 30, 2013</div><div>Author Notification August 30, 2013</div><div>Camera-ready Accepted Papers September 10, 2013</div><div>Workshop October 6, 2013 </div><div><br></div><div>For more information, contact Workshop Chair Kwan-Liu Ma <a href="mailto:ma@cs.ucdavis.edu">ma@cs.ucdavis.edu</a></div><div><br></div><div><br></div></div></body></html>