A new linearization and partitioning framework lets stochastic package queries with value-at-risk or conditional-value-at-risk constraints run on millions of tuples in minutes.
https://www.kaggle.com/datasets/paultimothymooney/stock-market- data/data
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Stochastic SketchRefine: Scaling In-Database Decision-Making under Uncertainty to Millions of Tuples
A new linearization and partitioning framework lets stochastic package queries with value-at-risk or conditional-value-at-risk constraints run on millions of tuples in minutes.