$\Upsilon$-DB: Managing scientific hypotheses as uncertain data

Bernardo Gonçalves; Fabio Porto

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arXiv · 1405.4607

$\Upsilon$-DB: Managing scientific hypotheses as uncertain data

Bernardo Gonçalves·Fabio Porto

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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., $\Upsilon$-DBs. It introduces hypothesis management as a promising new class of applications for p-DBs. We illustrate the potential of $\Upsilon$-DB as a tool for deep predictive analytics.

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Bernardo Gonçalves, Fabio Porto. 2014-05-19. $\Upsilon$-DB: Managing scientific hypotheses as uncertain data. https://arxiv.org/abs/1405.4607

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