Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
The analysis of the runtime behavior of a software system yields vast amounts of information, making accurate interpretations difficult. Filtering or compression techniques are o...
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Time is an important data dimension with distinct characteristics that is common across many application domains. This demands specialized methods in order to support proper analy...
Wolfgang Aigner, Alessio Bertone, Silvia Miksch, C...
Scientific data of importance to biologists in the Humitn Genome Project resides not only in conventional da.tabases, but in structured files maintained in a number of different f...
Peter Buneman, Susan B. Davidson, Kyle Hart, G. Ch...