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...
—Document networks, i.e., networks associated with text information, are becoming increasingly popular due to the ubiquity of Web documents, blogs, and various kinds of online da...
d Abstract) Paul Beame1, , Matei David2, , Toniann Pitassi2, , and Philipp Woelfel2,† 1 University of Washington 2 University of Toronto Abstract. We solve some fundamental probl...
Paul Beame, Matei David, Toniann Pitassi, Philipp ...
DHT networks based on consistent hashing functions have an inherent load uneven distribution problem. The objective of DHT load balancing is to balance the workload of the network...
We present a novel outlier elimination technique designed for sensor networks. This technique is called RANBAR and it is based on the RANSAC (RANdom SAmple Consensus) paradigm, wh...