December 2nd, 2016
Talk byProf. K. Zhang, Professor and Director of Visual Computing Lab,Department of Computer Science,the University of Texas at Dallas, USA.
Title: Visualizing Big Hierarchical Data
Abstract: Hierarchical data could essentially be represented as a tree structure and be visualized as a tree. The traditional Treemaps are the most popular among many tree visualization approaches. Most tree visualization approaches, however, have been focused on layout algorithms and paid little attention to other display properties and interactions. Furthermore, the structural information in conventional Treemaps is too implicit for viewers to perceive. This talk will present our recent work on Cabinet Tree, an approach for visualizing big hierarchical data (recently published in Journal of Big Data at http://www.journalofbigdata.com/content/pdf/s40537-015-0022-3.pdf). Cabinet Tree draws branches explicitly to show relational structures, uses a space-optimized layout to maximize space utilization, and adopts coloring and labeling strategies to clearly reveal patterns and contrast different attributes intuitively. We also apply the continuous node selection and detail window techniques to support user interaction with different levels of hierarchies. Our quantitative evaluations demonstrate that Cabinet Tree achieves good scalability for increased resolutions and big datasets. Other information visualization projects will be briefly introduced.
Bio-sketch:Kang Zhang is Professor and Director of Visual Computing Lab, Department of Computer Science, and Professor of Arts and Technology, at the University of Texas at Dallas. He received his B.Eng. in Computer Engineering from University of Electronic Science and Technology of China in 1982, Ph.D. from the University of Brighton, UK, in 1990, and Executive MBA from the University of Texas at Dallas in 2011. Prior to joining UT-Dallas, he held academic positions in the UK, Australia, and China. Dr. Zhang's current research interests include generative art, visual languages, aesthetic computing, managerial aesthetics, and software engineering; and has published over 200 papers in these areas. He has authored and edited six books. Dr Zhang is on the Editorial Boards of Journal of Big Data, The Visual Computer, Journal of Visual Languages and Computing, International Journal of Software Engineering and Knowledge Engineering, International Journal of Advanced Intelligence, and 《软件学报》. His home page is at www.utdallas.edu/~kzhang and （中文）: kzhang.art4.gift.