Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Scheduling problems can be seen as a set of temporal metric and disjunctive constraints. So, they can be formulated in terms of CSPs techniques. In the literature, there are CSP-b...
Modern data mining settings involve a combination of attributevalued descriptors over entities as well as specified relationships between these entities. We present an approach t...
M. Shahriar Hossain, Satish Tadepalli, Layne T. Wa...
Abstract. The notion of user preference in database modeling has recently received much attention in advanced applications, such as personalization of e-services, since it captures...
This paper offers several contributions for separation of duty (SoD) administration in role-based access control (RBAC) systems. We first introduce a new formal framework, based o...
Alessandro Colantonio, Roberto Di Pietro, Alberto ...