Speaker: William Ribarsky (Georgia Institute of Technology, USA)
I will describe work to depict, explore, and understand large scale to very large scale data. For data of this size, one cannot just consider visualization techniques alone but must consider them in conjunction with issues of data organization, interactivity, data paging and memory management, efficient visual representation, overall detail management, and techniques for exploration and discovery. Efficiency becomes predominant, time is of the essence, and exploration is key (since nobody will know, in detail, what a very large dataset contains). I will show that these issues are not just important for the applications presented but have much wider applicability.