Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
— The success of a P2P file-sharing network highly depends on the scalability and versatility of its search mechanism. Two particularly desirable search features are scope (abil...
With faster CPU clocks and wider pipelines, all relevant microarchitecture components should scale accordingly. There have been many proposals for scaling the issue queue, registe...
The rapid growth of the World Wide Web and the Internet has fueled interest in Web services and the Semantic Web, which are quickly becoming important parts of modern electronic c...