High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
In fall of 2004, we met Jim Gray and began to converse about the data needs of ocean scientists. The conversations ultimately led to the development of a unique portal for explori...
As data sources become larger and more complex, the ability to effectively explore and analyze patterns amongst varying sources becomes a critical bottleneck in analytic reasoning...
Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahm...
The NameVoyager, a web-based visualization of historical trends in baby naming, has proven remarkably popular. This paper discusses the display techniques used for smooth visual e...