Decisionhouse: Prescriptive Analytics in the Data Stack
Summary: Introduces Decisionhouses, data platforms that make prescriptive analytics native via DeQL, a declarative SQL extension for optimization over relational data. Automatic formulation and solver selection exploits query/data semantics, potentially changing complexity from NP-hard to polynomial. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Matteo Brucato (OSM Data)
- 2. Fjodor Kholodkov (OSM Data)
- 3. Soren Little (OSM Data)
- 4. Jakob Mayer (OSM Data)
- 5. Duc Nguyen (OSM Data)
BibTeX Citation
@article{brucato_vldb26,
title = {{Decisionhouse: Prescriptive Analytics in the Data Stack}},
author = {Brucato, Matteo and Kholodkov, Fjodor and Little, Soren and Mayer, Jakob and Nguyen, Duc},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {10},
pages = {2755--2762},
doi = {10.14778/3828612.3828629},
url = {https://doi.org/10.14778/3828612.3828629},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13,594 | DeQL Studio: Declarative Decision-Making over Relational Data | 2026 | VLDB | - |
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