Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
The features of ATM offered many attractions to the application community, such as fine-grained multiplexing and high-throughput links. These created considerable challenges for t...
: We propose a new scheme of `automatic pricing' for digital contents, and describe an implemented system as well as concrete pricing algorithms for it. Automatic pricing refe...
We present techniques to index mobile objects in order to efficiently answer range queries about their future positions. This problem appears in real-life applications, such as pr...
Dimitris Papadopoulos, George Kollios, Dimitrios G...
We study the pathwise (strong) approximation of scalar stochastic differential equations with respect to the global error in the L2-norm. For equations with additive noise we estab...