$\Upsilon$-DB: Managing scientific hypotheses as uncertain data
Databases
2015-01-23 v1 Computational Engineering, Finance, and Science
Abstract
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 database (p-DB) design methodology for the systematic construction and management of U-relational hypothesis DBs, viz., -DBs. It introduces hypothesis management as a promising new class of applications for p-DBs. We illustrate the potential of -DB as a tool for deep predictive analytics.
Cite
@article{arxiv.1405.4607,
title = {$\Upsilon$-DB: Managing scientific hypotheses as uncertain data},
author = {Bernardo Gonçalves and Fabio Porto},
journal= {arXiv preprint arXiv:1405.4607},
year = {2015}
}
Comments
To appear in PVLDB 2014