In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
Large amounts of time-varying datasets create great challenges for users to understand and explore them. This paper proposes an efficient visualization method for observing overal...
Data outsourcing is becoming today a successful solution that allows users and organizations to exploit external servers for the distribution of resources. Some of the most challe...
Sabrina De Capitani di Vimercati, Sara Foresti, Su...
An eXtensible Markup Language (XML) based data model for the Global Geodynamics Project (GGP) has been previously developed. Mindful of the need to incorporate metadata into the d...
A topic that is currently inspiring a lot of research is parallel (distributed) computation of transitive closure queries. In [lo] the disconnection set approach has been introduc...
Maurice A. W. Houtsma, Peter M. G. Apers, Gideon L...