Most of the frequently used ontology mapping methods to date are based on linguistic information implied in ontologies. However, same concepts in different ontologies can represen...
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
In this paper we address the problem of reducing the role mining complexity in RBAC systems. To this aim, we propose a three steps methodology: first, we associate a weight to rol...
Alessandro Colantonio, Roberto Di Pietro, Alberto ...
Abstract. Gaining a better knowledge of one's own network is crucial to effectively manage and secure today's large, diverse campus and enterprise networks. Because of th...
The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
Lifan Xu, Michela Taufer, Stuart Collins, Dionisio...