This paper describes the iterative development of a visualization for a wiki used in a large enterprise to manage research projects. An initial prototype-based field study exposed...
Xianghua Ding, Catalina Danis, Thomas Erickson, We...
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Clustering of data has numerous applications and has been studied extensively. It is very important in Bioinformatics and data mining. Though many parallel algorithms have been des...
Many grid applications need to transfer large amounts of data between the geographically distributed sites of a grid environment. Network heterogeneity between these sites makes t...
A graph G is a support for a hypergraph H = (V, S) if the vertices of G correspond to the vertices of H such that for each hyperedge Si ∈ S the subgraph of G induced by Si is co...
Kevin Buchin, Marc J. van Kreveld, Henk Meijer, Be...