Clustering is one of the most important analysis tasks in spatial databases. We study the problem of clustering objects, which lie on edges of a large weighted spatial network. Th...
In this paper, we introduce the concept of a QA-Pagelet to refer to the content region in a dynamic page that contains query matches. We present THOR, a scalable and efficient min...
This paper presents an algorithm to ensure the atomicity of a distributed storage that can be read and written by any number of clients. In failure-free and synchronous situations...
Rachid Guerraoui, Dejan Kostic, Ron R. Levy, Vivie...
Abstract. Mixed-parallelism, the combination of data- and taskparallelism, is a powerful way of increasing the scalability of entire classes of parallel applications on platforms c...
The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the ...