For a large number of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smalles...
Ambient intelligence involves synthesising data from a range of sources in order to exhibit meaningful adaptive behaviour without explicit user direction, driven by inputs from lar...
: Data validation and cleaning are integral processes of the data quality management cycle. Domain specific knowledge is needed to detect and correct semantic errors. Ontologies c...
The increased complexity, heterogeneity and the dynamism of networked systems and services make current control and management tools to be ineffective in managing and securing suc...
As data stream management systems (DSMSs) become more and more popular, there is an increasing need to protect such systems from adversaries. In this paper we present an approach ...