| 943 |
A Formal Approach to Finding Explanations for Database Queries |
2014 |
SIGMOD |
0.00015140995 |
| 1,106 |
Provenance for Aggregate Queries |
2011 |
PODS |
0.00013976386 |
| 1,454 |
Causal Relational Learning |
2020 |
SIGMOD |
0.00011921443 |
| 1,698 |
Sensitivity Analysis and Explanations for Robust Query Evaluation in Probabilistic Databases |
2011 |
SIGMOD |
0.00010857033 |
| 2,373 |
Query-Based Data Pricing |
2012 |
PODS |
8.9405504e-05 |
| 2,574 |
Database Repairs and Consistent Query Answering: Origins and Further Developments |
2019 |
PODS |
8.5126812e-05 |
| 2,600 |
Tracing Data Errors with View-Conditioned Causality |
2011 |
SIGMOD |
8.4652308e-05 |
| 2,655 |
Explaining Query Answers with Explanation-Ready Databases |
2016 |
VLDB |
8.3638668e-05 |
| 2,805 |
Query-Oriented Data Cleaning with Oracles |
2015 |
SIGMOD |
8.103731e-05 |
| 2,864 |
A Dichotomy in the Complexity of Deletion Propagation with Functional Dependencies |
2012 |
PODS |
7.9964194e-05 |
| 2,876 |
Computing the Shapley Value of Facts in Query Answering |
2022 |
SIGMOD |
7.9739469e-05 |
| 3,030 |
The Impact of Negation on the Complexity of the Shapley Value in Conjunctive Queries |
2020 |
PODS |
7.676832e-05 |
| 3,054 |
Partial Results in Database Systems |
2014 |
SIGMOD |
7.6478475e-05 |
| 3,083 |
Computing Local Sensitivities of Counting Queries with Joins |
2020 |
SIGMOD |
7.5985351e-05 |
| 3,107 |
Data X-Ray: A Diagnostic Tool for Data Errors |
2015 |
SIGMOD |
7.5549177e-05 |
| 3,224 |
Reverse Data Management |
2011 |
VLDB |
7.3523336e-05 |
| 4,256 |
Multi-Tuple Deletion Propagation: Approximations and Complexity |
2013 |
VLDB |
6.3063725e-05 |
| 4,358 |
The Complexity of Resilience and Responsibility for Self-Join-Free Conjunctive Queries |
2016 |
VLDB |
6.2499e-05 |
| 4,661 |
Efficient Answering of Historical What-if Queries |
2022 |
SIGMOD |
6.0069281e-05 |
| 4,940 |
New Results for the Complexity of Resilience for Binary Conjunctive Queries with Self-Joins |
2020 |
PODS |
5.8131196e-05 |
| 4,973 |
Maximizing Conjunctive Views in Deletion Propagation |
2011 |
PODS |
5.7882537e-05 |
| 5,192 |
Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances |
2019 |
SIGMOD |
5.6324589e-05 |
| 5,321 |
XInsight: eXplainable Data Analysis Through The Lens of Causality |
2023 |
SIGMOD |
5.5676564e-05 |
| 5,428 |
High-Level Why-Not Explanations using Ontologies |
2015 |
PODS |
5.5125084e-05 |
| 5,839 |
Why Not Yet: Fixing a Top-k Ranking that Is Not Fair to Individuals |
2023 |
VLDB |
5.3073497e-05 |
| 5,918 |
Banzhaf Values for Facts in Query Answering |
2024 |
SIGMOD |
5.2688869e-05 |
| 6,156 |
On Data-Aware Global Explainability of Graph Neural Networks |
2023 |
VLDB |
5.1779507e-05 |
| 6,187 |
On Provenance Minimization |
2011 |
PODS |
5.1611195e-05 |
| 6,262 |
Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games |
2024 |
SIGMOD |
5.1300221e-05 |
| 6,424 |
ShapGraph: An Holistic View of Explanations through Provenance Graphs and Shapley Values |
2022 |
SIGMOD |
5.0618143e-05 |
| 6,468 |
Explain3D: Explaining Disagreements in Disjoint Datasets |
2019 |
VLDB |
5.0448709e-05 |
| 6,728 |
On Shapley Value in Data Assemblage Under Independent Utility |
2022 |
VLDB |
4.9443317e-05 |
| 7,024 |
A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations |
2023 |
SIGMOD |
4.8530001e-05 |
| 7,172 |
Summarized Causal Explanations For Aggregate Views |
2024 |
SIGMOD |
4.8068645e-05 |
| 8,663 |
Advancing Fact Attribution for Query Answering: Aggregate Queries and Novel Algorithms |
2025 |
VLDB |
4.4676883e-05 |
| 8,718 |
Aggregated Deletion Propagation for Counting Conjunctive Query Answers |
2021 |
VLDB |
4.4566012e-05 |
| 9,639 |
Shapley Revisited: Tractable Responsibility Measures for Query Answers |
2025 |
PODS |
4.3067693e-05 |
| 9,644 |
Fair and Actionable Causal Prescription Ruleset |
2025 |
SIGMOD |
4.3067693e-05 |
| 9,768 |
DPXPlain: Privately Explaining Aggregate Query Answers |
2023 |
VLDB |
4.2815042e-05 |
| 10,010 |
Tractability Frontiers of the Shapley Value for Aggregate Conjunctive Queries |
2026 |
PODS |
4.1905499e-05 |
| 10,101 |
Privacy-preserving and Verifiable Causal Prescriptive Analytics |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,147 |
Causal Explanations for Disparate Trends: Where and Why? |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,269 |
Database Views as Explanations for Relational Deep Learning |
2026 |
VLDB |
4.1905499e-05 |
| 10,639 |
Is Integer Linear Programming All You Need for Deletion Propagation? |
2025 |
VLDB |
4.1905499e-05 |
| 10,722 |
What If: Causal Analysis with Graph Databases |
2025 |
VLDB |
4.1905499e-05 |
| 10,747 |
Finding Convincing Views to Endorse a Claim |
2025 |
VLDB |
4.1905499e-05 |
| 10,849 |
Versatile Property Graph Transformations |
2025 |
VLDB |
4.1905499e-05 |
| 10,914 |
Postulates for Provenance: Instance-based provenance for first-order logic |
2024 |
PODS |
4.1905499e-05 |
| 10,942 |
Relative Keys: Putting Feature Explanation into Context |
2024 |
SIGMOD |
4.1905499e-05 |
| 10,957 |
Counterfactual Explanation at Will, with Zero Privacy Leakage |
2024 |
SIGMOD |
4.1905499e-05 |