Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
The proliferation of electronic content has notably lead to the apparition of large corpora of interrelated structured documents (such as HTML and XML Web pages) and semantic annot...
The Marching Cubes (MC) algorithm is a popular approach to extract iso-surfaces from volumetric data. This approach extracts triangles from the volume data for a specific iso-valu...
Jagannathan Lakshmipathy, Wieslaw L. Nowinski, Eri...
We consider a virtual computing environment that provides computational resources on demand to users with multiattribute task descriptions that include a valuation, resource (CPU)...