| 811 |
Provenance for Aggregate Queries |
2011 |
PODS |
50 |
0.00013746145 |
| 1,767 |
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance |
2012 |
VLDB |
25 |
9.6910812e-05 |
| 1,941 |
Caravan: Provisioning for What-If Analysis |
2013 |
CIDR |
19 |
9.3276626e-05 |
| 2,218 |
Computing the Shapley Value of Facts in Query Answering |
2022 |
SIGMOD |
19 |
8.8130445e-05 |
| 3,664 |
On Probabilistic Fixpoint and Markov Chain Query Languages |
2010 |
PODS |
7 |
7.115538e-05 |
| 4,684 |
Provenance for Natural Language Queries |
2017 |
VLDB |
8 |
6.4692258e-05 |
| 5,059 |
ShapGraph: An Holistic View of Explanations through Provenance Graphs and Shapley Values |
2022 |
SIGMOD |
7 |
6.291478e-05 |
| 5,646 |
A Quest for Beauty and Wealth (or, Business Processes for Database Researchers) |
2011 |
PODS |
4 |
6.0505202e-05 |
| 5,795 |
Banzhaf Values for Facts in Query Answering |
2024 |
SIGMOD |
5 |
5.9901731e-05 |
| 6,459 |
On Provenance Minimization |
2011 |
PODS |
4 |
5.7751941e-05 |
| 6,712 |
Selective Provenance for Datalog Programs Using Top-K Queries |
2015 |
VLDB |
10 |
5.70009e-05 |
| 6,734 |
On Multiple Semantics for Declarative Database Repairs |
2020 |
SIGMOD |
14 |
5.6919385e-05 |
| 7,235 |
Hypothetical Reasoning via Provenance Abstraction |
2019 |
SIGMOD |
4 |
5.5765963e-05 |
| 7,321 |
NLProveNAns: Natural Language Provenance for Non-Answers |
2018 |
VLDB |
2 |
5.5521254e-05 |
| 7,513 |
ExplainED: Explanations for EDA Notebooks |
2020 |
VLDB |
4 |
5.5040697e-05 |
| 7,539 |
Querying and Monitoring Distributed Business Processes |
2008 |
VLDB |
1 |
5.497794e-05 |
| 8,360 |
FEDEX: An Explainability Framework for Data Exploration Steps |
2022 |
VLDB |
11 |
5.3456868e-05 |
| 8,864 |
Advancing Fact Attribution for Query Answering: Aggregate Queries and Novel Algorithms |
2025 |
VLDB |
2 |
5.2613908e-05 |
| 9,604 |
Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries |
2020 |
SIGMOD |
2 |
5.1534211e-05 |
| 9,793 |
ProvCite: Provenance-based Data Citation |
2019 |
VLDB |
2 |
5.1251743e-05 |
| 9,947 |
NLProv: Natural Language Provenance |
2016 |
VLDB |
3 |
5.1038803e-05 |
| 10,257 |
PROPOLIS: Provisioned Analysis of Data-Centric Processes |
2013 |
VLDB |
2 |
5.0490212e-05 |
| 11,859 |
CFDB: Machine Learning Model Analysis via Databases of CounterFactuals |
2022 |
SIGMOD |
0 |
4.9769913e-05 |
| 11,981 |
On Optimizing the Trade-off between Privacy and Utility in Data Provenance |
2021 |
SIGMOD |
1 |
4.9769913e-05 |
| 12,088 |
T-REx: Table Repair Explanations |
2020 |
SIGMOD |
0 |
4.9769913e-05 |
| 12,119 |
MuSe: Multiple Deletion Semantics for Data Repair |
2020 |
VLDB |
1 |
4.9769913e-05 |
| 12,135 |
Personal Insights for Altering Decisions of Tree-based Ensembles over Time |
2020 |
VLDB |
1 |
4.9769913e-05 |
| 12,182 |
Datalignment: Ontology Schema Alignment Through Datalog Containment |
2019 |
VLDB |
0 |
4.9769913e-05 |
| 12,246 |
QuestPro: Queries in SPARQL Through Provenance |
2018 |
VLDB |
0 |
4.9769913e-05 |
| 12,270 |
A Model for Fine-Grained Data Citation |
2017 |
CIDR |
4 |
4.9769913e-05 |
| 12,276 |
Data Citation: a Computational Challenge |
2017 |
PODS |
1 |
4.9769913e-05 |
| 12,509 |
A Provenance Framework for Data-Dependent Process Analysis |
2014 |
VLDB |
1 |
4.9769913e-05 |
| 12,607 |
Mob Data Sourcing |
2012 |
SIGMOD |
0 |
4.9769913e-05 |
| 12,767 |
Navigating in Complex Mashed-Up Applications |
2010 |
VLDB |
0 |
4.9769913e-05 |
| 12,775 |
Optimal Top-K Query Evaluation for Weighted Business Processes |
2010 |
VLDB |
1 |
4.9769913e-05 |
| 12,838 |
Goal-Oriented Web-site Navigation for On-line Shoppers |
2009 |
VLDB |
1 |
4.9769913e-05 |
| 12,871 |
Type Inference and Type Checking for Queries on Execution Traces |
2008 |
VLDB |
4 |
4.9769913e-05 |
| 12,907 |
Querying Web-Based Applications Under Models of Uncertainty |
2008 |
VLDB |
0 |
4.9769913e-05 |
| 13,731 |
Theory and Practice of Provenance |
2022 |
SIGMOD |
0 |
- |