PDF-Explorable Visual Analytics (EVA)Interactive Exploration of LEHDSaman

MotivationTuesday June 23rd 2015Explorable Visual Analytics EVA Motivation1854Cholera outbreak in Soho London616 DeadNo Germ Theory Miasmatic Theory bad airJohn SnowSpread through ater upply. cmuedu Michael Lewis School of Information Sciences and Intelligent Systems Program University of Pittsburgh Pittsburgh PA mlsispittedu Randy Sargent CREATE Lab Robotics Institute Carnegie Mellon University Pittsburgh PA randysargentcscmuedu Illah No Analytics. :. New York times – A . map. . of. . olympic. . medals. . A . graphic. . view. . of. . the. . number. . of. . medals. . countries. won in sommer Olympic Games from 1896 – 2008. of . Multi-class Scatterplots. Haidong . Chen. , . Wei . Chen, . Honghui. . Mei, . Zhiqi. . Liu, Kun Zhou, . Weifeng. Chen, . Wentao. . Gu. , Kwan-Liu Ma. Motivations. Multi-class scatterplots. Aid comparison. Roof Savings Calculator. Ensembles. Chad Jones (Apple). Kwan-Liu Ma (UC-Davis). Jibo. Sanyal (ORNL). Joshua New, Ph.D.. Building Technologies Research &. Integration Center (BTRIC). 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. Amanda McGowan. Seer Interactive. Overview. Overview of Digital Analytics. Purpose. Data Types. Social Analytics. Strategy & Setup. Interpreting the Data. Applying the Data. © 2015 Seer Interactive . Remco Chang. Assistant . Professor. Department of Computer Science. Tufts University. Big Data Visual Analytics:. A User-Centric Approach. “The . computer is incredibly fast, accurate, and stupid. Man is unbelievably slow, inaccurate, and brilliant. The marriage of the two is a force beyond calculation. Challenges . and Opportunities. Remco. Chang. Tufts University. Visual Analytics = Human Computer. Visual analytics . is . “the . science of analytical reasoning facilitated by visual . interactive . Our SAS: VA Success Story. This seminar will begin at 1:00pm (EST). Audio for this meeting will be broadcasted through your PC speakers. . Please use the . Webex. Chat function to contact Rebecca Gill (HOST), if you are experiencing technical difficulties or if you have a question.. VIYA IN USD4-cores8-cores16-cores32-cores64-cores128-cores90GB RAM150GB RAM270GB RAM510 GB RAM990 GB RAM1950 GB RAM250 GB storage500 GB storage1 TBstorage2TB storage4TB storage8TB storageApplicationSA Tufts. Remco. Chang. Assistant Professor. Tufts University. Problem Statement. The growth of data is exceeding our ability to analyze them. . The amount of digital information generated in the years 2002, 2006, 2010:. Overview of the body, including chemical and cellular structures. Body-system organization, grouped by function. A focus on visual appeal--perfect for all reading levels and preferences. Rich, comprehensive coverage providing a firm foundation in anatomy & physiology. Consistent pedagogical features in each chapter, including...That Makes Sense boxes offer mnemonics, practical example, and hints to help you remember key information.Fast Facts offer interesting points relating to the body system covered in the chapter.Life Lesson boxes use clinical examples to show how anatomy and physiology relate to daily living.Review of Terms defines key words at the end of each chapter.Multiple-choice review questions.Learning Target exercises help students reinforce what they learned in each chapter.The Body AT WORK explains how specific physiological processes work. Remco. Chang, PhD . (Charlotte Visualization Center) (Tufts University). Values of Visualization. Presentation. Analysis. Values of Visualization. Presentation. Analysis. Values of Visualization. Presentation. Interactive Extreme-Scale Analytics . A . SDE. for Interactive Extreme-Scale Analytics. 1. Motivation – using synopses for analytics at scale. 2. A SDE for Interactive Extreme-Scale Analytics. Big .