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-- Failures of any type are common in current datacenters. As data scales up, its availability becomes more complex, while different availability levels per application or ...
Nicolas Bonvin, Thanasis G. Papaioannou, Karl Aber...
Abstract. We describe a distributed architecture for situated largescale agent-based simulations with predominately local interactions. The approach, implemented in AglobeX Simulat...
With the development of Internet-based business, Web applications are becoming increasingly complex. The J2EE specification aims at enabling the design of such web application ser...
We address the problem of clustering of contour images from hardware tools based on string descriptions, in a comparative study of cluster combination techniques. Several clusteri...