Abstract. The translation of information between heterogeneous representations is a long standing issue. With the large spreading of cooperative applications fostered by the advent...
In traditional data clustering, similarity of a cluster of objects is measured by pairwise similarity of objects in that cluster. We argue that such measures are not appropriate f...
Abstract. Association rule mining is one of the most popular data mining techniques. Significant work has been done to extend the basic association rule framework to allow for mini...
The Differentiated Services (DiffServ) architecture has been proposed by the Internet Engineering Task Force as a scalable solution for providing end-to-end Quality of Service (Qo...
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...