| 942 |
A Formal Approach to Finding Explanations for Database Queries |
2014 |
SIGMOD |
0.00015155714 |
| 1,106 |
Provenance for Aggregate Queries |
2011 |
PODS |
0.0001398766 |
| 1,449 |
Causal Relational Learning |
2020 |
SIGMOD |
0.0001193267 |
| 1,699 |
Sensitivity Analysis and Explanations for Robust Query Evaluation in Probabilistic Databases |
2011 |
SIGMOD |
0.00010858983 |
| 2,370 |
Query-Based Data Pricing |
2012 |
PODS |
8.9488834e-05 |
| 2,566 |
Database Repairs and Consistent Query Answering: Origins and Further Developments |
2019 |
PODS |
8.5243847e-05 |
| 2,602 |
Tracing Data Errors with View-Conditioned Causality |
2011 |
SIGMOD |
8.4667197e-05 |
| 2,649 |
Explaining Query Answers with Explanation-Ready Databases |
2016 |
VLDB |
8.3719123e-05 |
| 2,797 |
Query-Oriented Data Cleaning with Oracles |
2015 |
SIGMOD |
8.1108589e-05 |
| 2,857 |
A Dichotomy in the Complexity of Deletion Propagation with Functional Dependencies |
2012 |
PODS |
8.0037703e-05 |
| 2,868 |
Computing the Shapley Value of Facts in Query Answering |
2022 |
SIGMOD |
7.9816425e-05 |
| 3,027 |
The Impact of Negation on the Complexity of the Shapley Value in Conjunctive Queries |
2020 |
PODS |
7.6842412e-05 |
| 3,051 |
Partial Results in Database Systems |
2014 |
SIGMOD |
7.6512591e-05 |
| 3,104 |
Computing Local Sensitivities of Counting Queries with Joins |
2020 |
SIGMOD |
7.5578613e-05 |
| 3,105 |
Data X-Ray: A Diagnostic Tool for Data Errors |
2015 |
SIGMOD |
7.5568954e-05 |
| 3,218 |
Reverse Data Management |
2011 |
VLDB |
7.3592173e-05 |
| 4,260 |
Multi-Tuple Deletion Propagation: Approximations and Complexity |
2013 |
VLDB |
6.3124474e-05 |
| 4,361 |
The Complexity of Resilience and Responsibility for Self-Join-Free Conjunctive Queries |
2016 |
VLDB |
6.2559141e-05 |
| 4,664 |
Efficient Answering of Historical What-if Queries |
2022 |
SIGMOD |
6.0127053e-05 |
| 4,937 |
New Results for the Complexity of Resilience for Binary Conjunctive Queries with Self-Joins |
2020 |
PODS |
5.8187108e-05 |
| 4,971 |
Maximizing Conjunctive Views in Deletion Propagation |
2011 |
PODS |
5.7938195e-05 |
| 5,191 |
Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances |
2019 |
SIGMOD |
5.6378768e-05 |
| 5,313 |
XInsight: eXplainable Data Analysis Through The Lens of Causality |
2023 |
SIGMOD |
5.573009e-05 |
| 5,418 |
High-Level Why-Not Explanations using Ontologies |
2015 |
PODS |
5.5178123e-05 |
| 5,826 |
Why Not Yet: Fixing a Top-k Ranking that Is Not Fair to Individuals |
2023 |
VLDB |
5.3124507e-05 |
| 5,916 |
Banzhaf Values for Facts in Query Answering |
2024 |
SIGMOD |
5.273953e-05 |
| 6,153 |
On Data-Aware Global Explainability of Graph Neural Networks |
2023 |
VLDB |
5.1829258e-05 |
| 6,186 |
On Provenance Minimization |
2011 |
PODS |
5.166082e-05 |
| 6,262 |
Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games |
2024 |
SIGMOD |
5.1349507e-05 |
| 6,429 |
ShapGraph: An Holistic View of Explanations through Provenance Graphs and Shapley Values |
2022 |
SIGMOD |
5.0666822e-05 |
| 6,475 |
Explain3D: Explaining Disagreements in Disjoint Datasets |
2019 |
VLDB |
5.0497183e-05 |
| 6,723 |
On Shapley Value in Data Assemblage Under Independent Utility |
2022 |
VLDB |
4.9490816e-05 |
| 7,022 |
A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations |
2023 |
SIGMOD |
4.8576599e-05 |
| 7,172 |
Summarized Causal Explanations For Aggregate Views |
2024 |
SIGMOD |
4.8114797e-05 |
| 8,665 |
Advancing Fact Attribution for Query Answering: Aggregate Queries and Novel Algorithms |
2025 |
VLDB |
4.471975e-05 |
| 8,721 |
Aggregated Deletion Propagation for Counting Conjunctive Query Answers |
2021 |
VLDB |
4.4608778e-05 |
| 9,640 |
Shapley Revisited: Tractable Responsibility Measures for Query Answers |
2025 |
PODS |
4.3109001e-05 |
| 9,644 |
Fair and Actionable Causal Prescription Ruleset |
2025 |
SIGMOD |
4.3109001e-05 |
| 9,766 |
DPXPlain: Privately Explaining Aggregate Query Answers |
2023 |
VLDB |
4.2856106e-05 |
| 10,010 |
Tractability Frontiers of the Shapley Value for Aggregate Conjunctive Queries |
2026 |
PODS |
4.1945683e-05 |
| 10,101 |
Privacy-preserving and Verifiable Causal Prescriptive Analytics |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,147 |
Causal Explanations for Disparate Trends: Where and Why? |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,269 |
Database Views as Explanations for Relational Deep Learning |
2026 |
VLDB |
4.1945683e-05 |
| 10,631 |
Is Integer Linear Programming All You Need for Deletion Propagation? |
2025 |
VLDB |
4.1945683e-05 |
| 10,715 |
What If: Causal Analysis with Graph Databases |
2025 |
VLDB |
4.1945683e-05 |
| 10,740 |
Finding Convincing Views to Endorse a Claim |
2025 |
VLDB |
4.1945683e-05 |
| 10,845 |
Versatile Property Graph Transformations |
2025 |
VLDB |
4.1945683e-05 |
| 10,910 |
Postulates for Provenance: Instance-based provenance for first-order logic |
2024 |
PODS |
4.1945683e-05 |
| 10,939 |
Relative Keys: Putting Feature Explanation into Context |
2024 |
SIGMOD |
4.1945683e-05 |
| 10,954 |
Counterfactual Explanation at Will, with Zero Privacy Leakage |
2024 |
SIGMOD |
4.1945683e-05 |