activity
20152026
most citedStochastic Package Queries in Probabilistic Databases

6 citations · 10 across the 9 of their papers we have counts for

collaborators

9 papers

cs.DB2026

DeQL: A Decision Query Language for Prescriptive Analytics over Relational Data

Matteo Brucato, Fjodor Kholodkov, Soren Little +2

DeQL (Decision Query Language) extends SQL to express decision queries: given options drawn from relational data, constraints from policy, and a measurable objective, a DeQL query…

cs.DB2026

Example-Driven Intent Synthesis for Constrained Data Bundle Retrieval: Focused Text Snippet Extraction and Beyond

Whanhee Cho, Kuangfei Long, Mahmood Jasim +4

Selecting a bundle of items that collectively satisfies constraints is a fundamental task across databases, recommender systems, and text summarization. Unlike traditional retrieva…

cs.DB2024

Stochastic SketchRefine: Scaling In-Database Decision-Making under Uncertainty to Millions of Tuples

Riddho R. Haque, Anh L. Mai, Matteo Brucato +3

Decision making under uncertainty often requires choosing packages, or bags of tuples, that collectively optimize expected outcomes while limiting risks. Processing Stochastic Pack…

cs.DB2023★ 2 cited

Scaling Package Queries to a Billion Tuples via Hierarchical Partitioning and Customized Optimization

Anh L. Mai, Pengyu Wang, Azza Abouzied +3

A package query returns a package - a multiset of tuples - that maximizes or minimizes a linear objective function subject to linear constraints, thereby enabling in-database decis…

cs.DB2021★ 6 cited

Stochastic Package Queries in Probabilistic Databases

Matteo Brucato, Nishant Yadav, Azza Abouzied +2

We provide methods for in-database support of decision making under uncertainty. Many important decision problems correspond to selecting a package (bag of tuples in a relational d…

cs.HC2017

Redistributing Funds across Charitable Crowdfunding Campaigns

Matteo Brucato, Azza Abouzied, Chris Blauvelt

On Kickstarter only 36% of crowdfunding campaigns successfully raise sufficient funds for their projects. In this paper, we explore the possibility of redistribution of crowdfundin…