Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
Geoscience studies produce data from various observations, experiments, and simulations at an enormous rate. With proliferation of applications and data formats, the geoscience re...
Abstract. In this paper we report on preliminary work and architectural design carried out in the "Data Management" work package in the International Data Grid project. O...
It is now common to encounter communities engaged in the collaborative analysis and transformation of large quantities of data over extended time periods. We argue that these comm...
— The environmental science and engineering communities are actively engaged in planning and developing the next generation of large-scale sensor-based observing systems. These s...
Sameer Tilak, Paul Hubbard, Matt Miller, Tony Foun...