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Big Data Visualization

演講摘要

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.

講者簡介

馬匡六
  • 馬匡六 個人網站
  • University of California at Davis / Professor
  • 馬匡六,現任美國加州大學戴維斯分校電腦工程系教授兼研究所主任,並領導一個 25 名研究員的團隊 (VIDI Labs)。 馬教授於 1993 年在美國猶他大學獲得電腦科學博士學位後,加入美國太空總署 Langley 研究中心擔任研究員,1999 年成為加州大學副教授。馬教授的研究興趣廣泛,主要在可視化,高性能計算,交互式技術之開發,整合及應用。 他因為在研究方面的傑出貢獻,於 2000 年獲得美國總統青年科學家獎 (PECASE),2012 年獲選美國電子電機工程師協會院士,又於 2013 年獲頒可視化研究領域最高榮譽的計術成就獎。 他目前是台大資工的客座教授,交大資工的榮譽教授,並参與中研院的研究計劃。

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