Business Intelligence (BI) systems address the demands of large scale enterprises for operational analytics, management information and decision support tasks. Building such applic...
Existing meta-learning based distributed data mining approaches do not explicitly address context heterogeneity across individual sites. This limitation constrains their applicatio...
Yan Xing, Michael G. Madden, Jim Duggan, Gerard Ly...
Distributed management of data is one of the most important problems facing grids. Within the Enabling Grids for Enabling eScience (EGEE) project, currently the world’s largest ...
Graeme A. Stewart, David G. Cameron, Greig A. Cowa...
Grid technologies have been developed in response to an increase in demand for computing applications designed to yield the benefits from collaboration, data sharing and sophistic...
Anastasios Gounaris, Norman W. Paton, Rizos Sakell...
Volunteer Computing is becoming a new paradigm not only for the Computational Grid, but also for institutions using production-level Data Grids because of the enormous storage pot...
Jesus Luna, Michail Flouris, Manolis Marazakis, An...