The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Electronic Health Records (EHRs) and other temporal databases contain hidden patterns that reveal important cause-and-effect phenomena. Finding these patterns is a challenge when ...
Taowei David Wang, Catherine Plaisant, Alexander J...
In the last decade, spatio-temporal database research focuses on the design of effective and efficient indexing structures in support of location-based queries such as predictive...
Feature extraction and knowledge discovery from a large amount of image data such as remote sensing images have become highly required recent years. In this study, a framework for ...
Emerging multimedia applications have increased the need for video quality measurement. Motion is critical to this task, but is complicated owing to a variety of object movements ...
Kwanghyun Lee, Jincheol Park, Sanghoon Lee, Alan C...