| 670 |
A Formal Approach to Finding Explanations for Database Queries |
2014 |
SIGMOD |
0.00014954494 |
| 1,361 |
Computing Optimal Repairs for Functional Dependencies |
2018 |
PODS |
0.00010917917 |
| 1,981 |
Causality and Explanations in Databases |
2014 |
VLDB |
9.2586863e-05 |
| 2,222 |
Explaining Query Answers with Explanation-Ready Databases |
2016 |
VLDB |
8.8109051e-05 |
| 2,315 |
Causal Relational Learning |
2020 |
SIGMOD |
8.6532142e-05 |
| 2,488 |
Computing Local Sensitivities of Counting Queries with Joins |
2020 |
SIGMOD |
8.3973087e-05 |
| 4,566 |
HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach |
2022 |
SIGMOD |
6.5310568e-05 |
| 4,729 |
Interactive Summarization and Exploration of Top Aggregate Query Answers |
2018 |
VLDB |
6.4470592e-05 |
| 4,739 |
Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances |
2019 |
SIGMOD |
6.4441962e-05 |
| 4,847 |
Explaining Wrong Queries Using Small Examples |
2019 |
SIGMOD |
6.3823876e-05 |
| 5,151 |
CAPE: Explaining Outliers by Counterbalancing |
2019 |
VLDB |
6.2528145e-05 |
| 5,529 |
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs |
2021 |
SIGMOD |
6.0935553e-05 |
| 5,748 |
An Optimal Labeling Scheme for Workflow Provenance Using Skeleton Labels |
2010 |
SIGMOD |
6.0079624e-05 |
| 5,864 |
Properties of Inconsistency Measures for Databases |
2021 |
SIGMOD |
5.9663944e-05 |
| 6,112 |
iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks |
2019 |
SIGMOD |
5.8826029e-05 |
| 6,429 |
Evaluating Datalog over Semirings: A Grounding-based Approach |
2024 |
PODS |
5.7884926e-05 |
| 6,436 |
Summarized Causal Explanations For Aggregate Views |
2024 |
SIGMOD |
5.7853643e-05 |
| 6,538 |
Provenance Views for Module Privacy |
2011 |
PODS |
5.7534198e-05 |
| 6,653 |
Queries with Difference on Probabilistic Databases |
2011 |
VLDB |
5.7196642e-05 |
| 6,699 |
Toward Interpretable and Actionable Data Analysis with Explanations and Causality |
2022 |
VLDB |
5.7058728e-05 |
| 6,728 |
On Multiple Semantics for Declarative Database Repairs |
2020 |
SIGMOD |
5.6946342e-05 |
| 7,166 |
Learning to Sample: Counting with Complex Queries |
2020 |
VLDB |
5.5949741e-05 |
| 7,205 |
QAGView: Interactively Summarizing High-Valued Aggregate Query Answers |
2018 |
SIGMOD |
5.58633e-05 |
| 7,332 |
Selectivity Functions of Range Queries are Learnable* |
2022 |
SIGMOD |
5.5499953e-05 |
| 7,361 |
Enabling Privacy in Provenance-Aware Workflow Systems |
2011 |
CIDR |
5.5424891e-05 |
| 7,383 |
Aggregated Deletion Propagation for Counting Conjunctive Query Answers |
2021 |
VLDB |
5.5387855e-05 |
| 7,746 |
I-Rex: An Interactive Relational Query Explainer for SQL |
2020 |
VLDB |
5.4605889e-05 |
| 8,023 |
Optimizing Iceberg Queries with Complex Joins |
2017 |
SIGMOD |
5.4054487e-05 |
| 8,881 |
DPXPlain: Privately Explaining Aggregate Query Answers |
2023 |
VLDB |
5.2567693e-05 |
| 8,972 |
Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries |
2024 |
SIGMOD |
5.2458797e-05 |
| 9,004 |
The Cost of Representation by Subset Repairs |
2025 |
VLDB |
5.2389669e-05 |
| 9,015 |
LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers |
2019 |
VLDB |
5.2374759e-05 |
| 9,061 |
Understanding Queries by Conditional Instances |
2022 |
SIGMOD |
5.2289882e-05 |
| 9,949 |
Fair and Actionable Causal Prescription Ruleset |
2025 |
SIGMOD |
5.1038322e-05 |
| 9,983 |
Opportunities for Data Management Research in the Era of Horizontal AI/ML |
2019 |
VLDB |
5.1010346e-05 |
| 10,023 |
CaJaDE: Explaining Query Results by Augmenting Provenance with Context |
2022 |
VLDB |
5.0934925e-05 |
| 10,114 |
iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks |
2018 |
SIGMOD |
5.0789354e-05 |
| 10,391 |
A Unifying Algorithm for Hierarchical Queries |
2026 |
PODS |
4.9793485e-05 |
| 10,843 |
I-Rex: An Interactive Debugger for SQL |
2026 |
VLDB |
4.9793485e-05 |
| 10,966 |
Qr-Hint: Formally Verified and AI-Explained SQL Tutoring |
2026 |
VLDB |
4.9793485e-05 |
| 11,083 |
Circuits and Formulas for Datalog over Semirings |
2025 |
PODS |
4.9793485e-05 |
| 11,143 |
CauSumX: Summarized Causal Explanations For Group-By-Average Queries |
2025 |
SIGMOD |
4.9793485e-05 |
| 11,399 |
Hint-QPT: Hints for Robust Query Performance Tuning |
2025 |
VLDB |
4.9793485e-05 |
| 11,667 |
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms |
2024 |
VLDB |
4.9793485e-05 |
| 11,790 |
Explaining Differentially Private Query Results With DPXPlain |
2023 |
VLDB |
4.9793485e-05 |
| 12,113 |
MuSe: Multiple Deletion Semantics for Data Repair |
2020 |
VLDB |
4.9793485e-05 |
| 12,161 |
RATest: Explaining Wrong Relational Queries Using Small Examples |
2019 |
SIGMOD |
4.9793485e-05 |
| 12,541 |
Provenance-based Dictionary Refinement in Information Extraction |
2013 |
SIGMOD |
4.9793485e-05 |
| 13,638 |
PACMMOD V3, N4 (SIGMOD), September 2025: Editorial |
2025 |
SIGMOD |
- |