Processing large data streams is now a major topic in data management. The data involved can be truly massive, and the required analyses complex. In a stream of sequential events ...
In this report we address the problem of static scheduling of realtime systems that include both hard and soft tasks. We consider systems in which both hard and soft tasks are per...
— We introduce a graph-based relational learning approach using graph-rewriting rules for temporal and structural analysis of biological networks changing over time. The analysis...
In this paper we show how the FLAVERS data flow analysis technique, originally formulated for programs with the rendezvous model of concurrency, can be applied to concurrent Java...
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...