Efficient representations of multivariate functions are critical for the design state-of-the-art methods data restoration and image reconstruction. In this work, we consider representation spatio-temporal such as temporal sequences (videos) 2- 3-dimensional images, where conventional separable usually very inefficient, due to their limitations in handling geometry data. To address challenge, de...

We incorporate two knowledge discovery techniques, clustering and association-rule mining, into a fruitful exploratory tool for the discovery of spatio-temporal patterns. This tool is an autonomous pattern detector to reveal plausible cause-effect associations between layers of point and area data. We present two methods for this exploratory analysis and we detail algorithms to effectively expl...