name---->馬匡六(字串長度:9)---->男(字串長度:3)```name2---->Kwan-Liu Ma(字串長度:11)---->University of California at Davis(字串長度:33)```front_photo---->https://drive.google.com/open?id=0B8aPckZapD1sR0JQV2NVTHpocDA(字串長度:61)---->是(字串長度:3)```talk_title---->Big Data Visualization(字串長度:22)---->Advanced computing and imaging technologies enable scientists to study natural phenomena at unprecedented precision, resulting in an explosive growth of data. The size of the collected information about the Internet and mobile device users is expected to be even greater.  To make sense and maximize utilization of such vast amounts of data for knowledge discovery and decision making, we need a new set of tools beyond conventional data mining and statistical analysis methods. Visualization transforms large quantities of, often multiple-dimensional, data into graphical representations that exploit the high-bandwidth channel of the human visual system, leveraging the brain's remarkable ability to detect patterns and draw inferences.  It has been shown very effective in understanding large, complex data, and thus become an indispensable tool for many areas of research and practice. I will present several use cases of visualization based on new concepts and techniques that my group at UC Davis has introduced to further advance the visualization technology as a powerful discovery and communication tool.(字串長度:1113)```company---->University of California at Davis(字串長度:33)---->Professor(字串長度:9)```position---->Professor(字串長度:9)---->是(字串長度:3)```desc---->Advanced computing and imaging technologies enable scientists to study natural phenomena at unprecedented precision, resulting in an explosive growth of data. The size of the collected information about the Internet and mobile device users is expected to be even greater.<br><br>To make sense and maximize utilization of such vast amounts of data for knowledge discovery and decision making, we need a new set of tools beyond conventional data mining and statistical analysis methods. Visualization transforms large quantities of, often multiple-dimensional, data into graphical representations that exploit the high-bandwidth channel of the human visual system, leveraging the brain's remarkable ability to detect patterns and draw inferences.<br><br>It has been shown very effective in understanding large, complex data, and thus become an indispensable tool for many areas of research and practice. I will present several use cases of visualization based on new concepts and techniques that my group at UC Davis has introduced to further advance the visualization technology as a powerful discovery and communication tool.(字串長度:1125)---->Kwan-Liu Ma (馬匡六) is a professor of computer science and the chair of the Graduate Group in Computer Science (GGCS) at the University of California-Davis, where he directs VIDI Labs and UC Davis Center of Excellence for Visualization. He is also a visiting professor of the National Taiwan University and a chair professor of the National Chiao Tung University. His research spans the fields of visualization, computer graphics, high-performance computing, and user interface design. Professor Ma received his PhD in computer science from the University of Utah in 1993. During 1993-1999, he was with ICASE/NASA Langley Research Center as a research scientist. He joined UC Davis in 1999.<br><br>Professor Ma is presently leading a team of 25 researchers pursuing projects driven by a wide range of real-world applications.<br><br>He received the NSF Presidential Early-Career Research Award (PECASE) in 2000, was elected an IEEE Fellow in 2012, and received the 2013 IEEE VGTC Visualization Technical Achievement Award for his outstanding research work. Professor Ma has been actively serving the research community by playing leading roles in many<br><br>professional activities in the area of visualization. He presently serves as the Associate Editor-in-Chief of the<br><br>IEEE Computer Graphics and Applications (CG&amp;A), and on the editorial board of the Journal of Visualization, the Journal of Visual Informatics, and the Journal of Computational Visual Media.(字串長度:1477)```conf---->DSK(字串長度:3)---->馬匡六(字串長度:9)```website---->http://ma@cs.ucdavis.edu(字串長度:24)---->http://Kwan-Liu Ma(字串長度:18)