We present techniques for discovering and exploiting regularity in large curvilinear data sets. The data can be based on a single mesh or a mesh composed of multiple submeshes (al...
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...
: In several industry scenarios, it is often the case that an existing reference workflow has to be adapted according to specific context factors, which might even change at runtim...
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
A pattern is a model or a template used to summarize and describe the behavior (or the trend) of a data having generally some recurrent events. Patterns have received a considerab...