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 ...
We focus on an important problem in the space of ubiquitous computing, namely, programming support for the distributed heterogeneous computing elements that make up this environme...
Processor virtualization via migratable objects is a powerful technique that enables the runtime system to carry out intelligent adaptive optimizations like dynamic resource manag...
Chao Huang, Gengbin Zheng, Laxmikant V. Kalé...
: As cloud services grow to span more and more globally distributed datacenters, there is an increasingly urgent need for automated mechanisms to place application data across thes...
Sharad Agarwal, John Dunagan, Navendu Jain, Stefan...
We present a novel structure-enhancing adaptive filter guided by features derived from the Gradient Structure Tensor. We employ this filter to reduce noise in seismic data and to ...