DiscFinder is a scalable approach for identifying large-scale astronomical structures, such as galaxy clusters, in massive observation and simulation astrophysics datasets. It is ...
We present a simple algorithm for clustering semantic patterns based on distributional similarity and use cluster memberships to guide semi-supervised pattern discovery. We apply ...
In this paper, we study distributed approximation algorithms for fault-tolerant clustering in wireless ad hoc and sensor networks. A k-fold dominating set of a graph G = (V, E) is...
Avionics data at the National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL) consists of distributed, unmanaged, and heterogeneous information tha...
Clustering supportwith a single-systemimagefor large-scaleWeb serversis important to improve the systemscalability in processing alargenumberof concurrentrequestsfrom Internet,esp...