In distributed data mining models, adopting a flat node distribution model can affect scalability. To address the problem of modularity, flexibility and scalability, we propose...
To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes. The underlying as...
: Moving Objects Databases have become an important research issue in recent years. For and querying moving objects, there exists a comprehensive framework of abstract data types t...
Ralf Hartmut Güting, Victor Teixeira de Almeida, ...
Constraint programming is a technology which is now widely used to solve combinatorial problems in industrial applications. However, using it requires considerable knowledge and e...
The design and development process of communication protocols and real-time systems and particularly transport protocol mechanisms requires adequate methodology and efficient ins...