Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Abstract. In distributed streaming media server clusters, by adopting cooperative caching (CC) technique, the free memory of all the servers can be combined to form a bigger, logic...
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
Abstract In this paper, an efficient K-medians clustering (unsupervised) algorithm for prototype selection and Supervised K-medians (SKM) classification technique for protein seque...
P. A. Vijaya, M. Narasimha Murty, D. K. Subramania...
For component-based systems, classical techniques for Worst-Case Execution Time (WCET) estimation produce unacceptable overestimations of a components WCET. This is because softwa...
Johan Fredriksson, Thomas Nolte, Andreas Ermedahl,...