PPT-STREAMIT: Dynamic Visualization and Interactive Exploration of Text Streams

Jamal Alsakran Kent State University Ohio Ye Zhao Kent State University Ohio Yang Chen University of North Carolina . VisualiZations. . of . statistics. in RIP. By. : Tim de Boer . and. Kim Verkooij. Data . VisualiZation. The set of techniques used to turn a set of data into visual insight.. It aims to give the data a meaningful representation by exploiting. Adarsh Kowdle Yao-Jen Chang . Tsuhan Chen. School of Electrical and Computer Engineering. Cornell University. 09/25/2009. WNYIP 2009. i. 3D: Interactive planar reconstruction. 2. i. 3D: Interactive planar reconstruction. Stream Programs and its Implications for Language and Compiler Design. Bill Thies. 1. and Saman Amarasinghe. 2. 1 . Microsoft Research India. 2 . Massachusetts Institute of Technology. PACT 2010. What Does it Take to. Large Dynamic . Digraphs. Michael . Burch. Motivation. Various application examples for dynamic graphs. Protein-protein interactions. Social networks. Call relations in software systems. …. Visualization. Hao. Du. 3. , . Peter Henry. 1. , . Xiaofeng. Ren. 2. , Marvin Cheng. 1. ,. Dan B Goldman. 4. , Steven M. Seitz. 1. , Dieter Fox. 1,2. 1. University of Washington: Computer Science & Engineering. Jamal Alsakran. Kent State University, Ohio. Yang Chen . University of North Carolina - Charlotte. Ye Zhao (Presenter). Kent State University, Ohio. Jing Yang. University of North Carolina - Charlotte. Clifford A. Shaffer. 1. , Tomas L. Naps. 2. , and Eric Fouh. 1. 1. Department of Computer Science. Virginia Tech. 2. Department of Computer Science. University of Wisconsin, Oshkosh. What is an . Active-eBook. Please remove all text on this template before designing your presentation. Interactive . presentations will only be accepted in PowerPoint . - .. ppt. or .. pptx. . Slides must be 16:9 aspect ratio and PORTRAIT . Alekh Agarwal. John Langford. ICML Tutorial, August 6. Slides and full references at . http://hunch.net/~rwil. . 1. 1. 5. 4. 3. 7. 5. 3. 5. 3. 5. 5. 9. 0. 6. 3. 5. 2. 0. 0. Training examples. Training labels. Representing programs through algorithm animation, . typographic source-code presentation, and interactive auralization . transforms the hunt for bugs into a cognitively accessible multimedia experience.. Presenter : Wei-. Hao. Huang . 　. Authors . : . Furu. . Wei, . Shixia. . Liu, . Yangqiu. . Song, . Shimei. . Pan Michelle . X. . Zhou, . Weihong. . Qian. , . Lei . Shi, . Li . Tan . Spring 2018. Course Introduction. What the course is about. What will you learn. Teaching team. Schedule. What you need to do to succeed. 1. Course overview. Visualization analysis & design. What visualization can do?. Chong Ho (Alex) Yu. Agenda. What is data visualization?. What isn’t data visualization?. What is the difference between dynamic, semi-dynamic, and non-dynamic (static) visualization systems?. Why do we need data visualization?. Remco. Chang, PhD . (Charlotte Visualization Center) (Tufts University). Values of Visualization. Presentation. Analysis. Values of Visualization. Presentation. Analysis. Values of Visualization. Presentation.