121 citations · 140 across the 12 of their papers we have counts for
6 papers · 1 filter
SAVIME: A Multidimensional System for the Analysis and Visualization of Simulation Data
Hermano Lustosa, Fabio Porto
Scientific applications produce a huge amount of data, which imposes serious management and analysis challenges. In particular, limitations in current database management systems p…
Constellation Queries over Big Data
Fabio Porto, Amir Khatibi, João R. Nobre +3
A geometrical pattern is a set of points with all pairwise distances (or, more generally, relative distances) specified. Finding matches to such patterns has applications to spatia…
-DB: A system for data-driven hypothesis management and analytics
Bernardo Gonçalves, Frederico C. Silva, Fabio Porto
The vision of -DB introduces deterministic scientific hypotheses as a kind of uncertain and probabilistic data, and opens some key technical challenges for enabling data-driven…
Design-theoretic encoding of deterministic hypotheses as constraints and correlations into U-relational databases
Bernardo Gonçalves, Fabio Porto
In view of the paradigm shift that makes science ever more data-driven, in this paper we consider deterministic scientific hypotheses as uncertain data. In the form of mathematical…
-DB: Managing scientific hypotheses as uncertain data
Bernardo Gonçalves, Fabio Porto
In view of the paradigm shift that makes science ever more data-driven, we consider deterministic scientific hypotheses as uncertain data. This vision comprises a probabilistic dat…
Managing large-scale scientific hypotheses as uncertain and probabilistic data with support for predictive analytics
Bernardo Gonçalves, Fabio Porto
The sheer scale of high-resolution raw data generated by simulation has motivated non-conventional approaches for data exploration referred as `immersive' and `in situ' query proce…