most citedF-IVM: Analytics over Relational Databases under Updates

7 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2023★ 1 cited

Banzhaf Values for Facts in Query Answering

Omer Abramovich, Daniel Deutch, Nave Frost +2

Quantifying the contribution of database facts to query answers has been studied as means of explanation. The Banzhaf value, originally developed in Game Theory, is a natural measu…

cs.DB2023

ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning

Junxiong Wang, Immanuel Trummer, Ahmet Kara +1

The performance of worst-case optimal join algorithms depends on the order in which the join attributes are processed. Selecting good orders before query execution is hard, due to…

cs.DB2023★ 1 cited

From Shapley Value to Model Counting and Back

Ahmet Kara, Dan Olteanu, Dan Suciu

In this paper we investigate the problem of quantifying the contribution of each variable to the satisfying assignments of a Boolean function based on the Shapley value. Our main r…

cs.DB2023★ 7 cited

F-IVM: Analytics over Relational Databases under Updates

Ahmet Kara, Milos Nikolic, Dan Olteanu +1

This article describes F-IVM, a unified approach for maintaining analytics over changing relational data. We exemplify its versatility in four disciplines: processing queries with…

cs.DB2022★ 2 cited

Conjunctive Queries with Free Access Patterns under Updates

Ahmet Kara, Milos Nikolic, Dan Olteanu +1

We study the problem of answering conjunctive queries with free access patterns (CQAPs) under updates. A free access pattern is a partition of the free variables of the query into…