Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
Approximating pairwise, or k-wise, independence with sublinear memory is of considerable importance in the data stream model. In the streaming model the joint distribution is give...
In this paper we describe a collaborative environment created to support distributed evaluation of a complex system architecture. The approach couples an interactive architecture ...
Steven R. Haynes, Amie L. Skattebo, Jonathan A. Si...
Occam is a parallel processing language designed by a team at INMOS in conjunction with the design of the transputer processor, and based on Sir T. Hoare's ideas of Communica...
We introduce a programming environment entitled Share that is designed to encourage loosely bound cooperation between individuals within communities of practice through the sharin...