Most present symmetric encryption algorithms result from a tradeoff between implementation cost and resulting performances. In addition, they generally aim to be implemented effici...
While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimension...
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
This text is dedicated to modelling of real-time applications running under multitasking operating system. Theoretical background is based on timed automata by Alur and Dill. As th...
We developed and tested a heuristic technique for extracting the main article from news site Web pages. We construct the DOM tree of the page and score every node based on the amo...