This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan...
: This research develops, operationalizes, and empirically tests a model for explaining/predicting the satisfaction of customers with Internet-based services in the context of an o...
: Nowadays, advanced E-Learning systems are generally pedagogy-aware. Commonly, these systems include facilities for defining so-called learning scenarios that reflect sophisticate...
When a security incident occurs it is sometimes necessary to identify its causes for legal and cautionary purposes. In an attempt to hide the origin of her connection, a malicious...
Abstract: This paper addresses the problem of expressing preferences among nonfunctional properties of services in a Web service architecture. In such a context, semantic and non-f...