This paper aims at formalizing the concept of learning rules from multisource data in a cardiac monitoring context. Our method has been implemented and evaluated on learning from d...
Existing ADLs (Architecture Description Languages) have an advantage of formally specifying the architecture of component-based systems. But ADLs have not come into extensive use ...
This paper discusses file system Access Control Lists as implemented in several UNIX-like operating systems. After recapitulating the concepts of these Access Control Lists that ...
— Most state-based approaches to fault diagnosis of discrete-event systems require a complete and accurate model of the system to be diagnosed. In this paper, we address the prob...
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...