As the amount of available data continues to increase, more and more effective means for discovering important patterns and relationships within that data are required. Although t...
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
We present novel visual and interactive techniques for exploratory visualization of animal kinematics using instantaneous helical axes (IHAs). The helical axis has been used in or...
Daniel F. Keefe, Trevor M. O'Brien, D. B. Baier, S...
Background: Assessing the outcome of motif mining algorithms is an essential task, as the number of reported motifs can be very large. Significance measures play a central role in...
We introduce an approach to visual analysis of multivariate data that integrates several methods from information visualization, exploratory data analysis (EDA), and geovisualizat...
Alan M. MacEachren, Xiping Dai, Frank Hardisty, Di...