There is a growing need for distributed teams to analyze complex and dynamic data streams and make critical decisions under time pressure. Via a case study, we discuss potential g...
Sarah S. Poon, Rollin C. Thomas, Cecilia R. Aragon...
As the basic sciences become increasingly information-intensive, the management and use of research data presents new challenges in the collective activities that constitute schola...
In the efficient social choice problem, the goal is to assign values, subject to side constraints, to a set of variables to maximize the total utility across a population of agent...
In this paper medical applications on a Grid infrastructure, the MAGIC-5 Project, are presented and discussed. MAGIC-5 aims at developing Computer Aided Detection (CADe) software ...
Roberto Bellotti, Piergiorgio Cerello, S. Tangaro,...
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...