The increasing availability of GPS-enabled devices is changing the way people interact with the Web, and brings us a large amount of GPS trajectories representing people's lo...
Dealing with large volumes of data, OLAP data cubes aggregated values are often spoiled by errors due to missing values in detailed data. This paper suggests to adjust aggregate an...
Electronic Medical Records are important to manage health data and save lives to improve the quality of service in hospitals. Clinical medical records contain a wealth of informat...
Population based real-life datasets often contain smaller clusters of unusual sub-populations. While these clusters, called `hot spots', are small and sparse, they are usuall...
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...