This paper presents a basic framework for applying static task scheduling techniques to arbitrarily-structured task systems whose targeted execution environment is comprised of fi...
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
Distributed data mining (DDM) is the semi-automatic pattern extraction of distributed data sources. The next generation of the data mining studies will be distributed data mining ...
Ezendu Ifeanyi Ariwa, Mohamed B. Senousy, Mohamed ...
This paper describes a novel multi-stage recognition procedure for deducing the spelling and pronunciation of an open set of names. The overall goal is the automatic acquisition o...
Traditional visualization techniques for multidimensional data sets, such as parallel coordinates, glyphs, and scatterplot matrices, do not scale well to high numbers of dimension...
Jing Yang, Matthew O. Ward, Elke A. Rundensteiner,...