报告时间：12月19日（周二）18:30~21:00
报告人：成生辉 博士
报告地点：浙江大学紫金港校区蒙民伟楼310-1
报告题目：高维数据可视分析
主持人：陈为 教授

报告简介：大数据时代，数据的维度越来越高，导致数据内部的关系越来越复杂。高维数据随处可见，并且很容易隐身于其他类型的数据中，比如地理信息数据、时序数据、网络数据、文本数据等。由于人眼自身的限制，高维数据很难看见；维度太高，传统的数据分析方法误差较大—— 理解并运用高维的数据是种挑战。此报告首先介绍高维数据空间的概况以及一般的分析方法，然后探讨如何运用可视化技术来理解并分析高维数据。最后，介绍几个基于高维数据可视分析的研究成果，比如Radviz Deluxe, ColorMapND, Data Context Map等。

报告人简介：Shenghui Cheng is a final year PhD candidate at Visual Analytics and Imaging (VAI) Lab, Computer Science Department, Stony Brook University, USA. His advisor is Prof. Klaus Mueller. In addition, he is also a guest researcher at Computational Science Initiative, Brookhaven National Lab, USA. He has been visited the Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), Leipzig University, Germany as a scientific researcher and the Department of Informatics, Friedrich Schiller University Jena, Germany as a research assistant.  He has authored papers at some famous venues, such as IEEE Transaction on Visualization and Computer Graphics, IEEE Pacific. He has been selected as an instructor twice for the tutorial at the IEEE Vis Conference, and serves as a reviewer for IEEE Transactions on Visualization and Computer Graphics, IEEE Visualization Conference, International Symposium on Graph Drawing and Network, AMIA Informatics Summit etc. His primary research interest includes visual analytics, information visualization and scientific visualization with a special focus on the High-Dimensional data.

For more information, please visit http://www3.cs.stonybrook.edu/~shecheng/.