Computing in Science and Engineering 17(5): 35-43 (
Abstract:
The sheer scale of high-resolution raw data generated by simulation has
motivated nonconventional approaches for data exploration, referred to
as immersive and in situ query processing. Another step toward
supporting scientific progress is to enable data-driven hypothesis
management and predictive analytics out of simulation results. The
authors of this article present a synthesis method and tool for encoding
and managing competing hypotheses as uncertain data in a probabilistic
database that can be conditioned in the presence of observations.