Abstract. We study the problem of mining frequent itemsets from uncertain data under a probabilistic framework. We consider transactions whose items are associated with existential...
We present a computational model of amygdala neural networks. It is used to simulate neuronal activation in amygdala nuclei at different stages of aversive conditioning experiments...
As storage-outsourcing services and resource-sharing networks have become popular, the problem of efficiently proving the integrity of data stored at untrusted servers has receiv...
Current developments show that tomorrow’s information systems and applications will no longer be based on monolithic architectures that encompass all the functionality. Rather, t...
Publish-subscribe (pub-sub) systems are useful for many applications, including pervasive environments. In the latter context, however, great care must be taken to preserve the pr...