| 663 |
A Formal Approach to Finding Explanations for Database Queries |
2014 |
SIGMOD |
0.00015174751 |
| 1,399 |
Computing Optimal Repairs for Functional Dependencies |
2018 |
PODS |
0.00010893312 |
| 1,943 |
Causality and Explanations in Databases |
2014 |
VLDB |
9.440636e-05 |
| 2,195 |
Explaining Query Answers with Explanation-Ready Databases |
2016 |
VLDB |
8.9713779e-05 |
| 2,374 |
Causal Relational Learning |
2020 |
SIGMOD |
8.6755064e-05 |
| 2,436 |
Computing Local Sensitivities of Counting Queries with Joins |
2020 |
SIGMOD |
8.5806427e-05 |
| 4,631 |
Interactive Summarization and Exploration of Top Aggregate Query Answers |
2018 |
VLDB |
6.595034e-05 |
| 4,638 |
Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances |
2019 |
SIGMOD |
6.5919801e-05 |
| 4,759 |
Explaining Wrong Queries Using Small Examples |
2019 |
SIGMOD |
6.5207388e-05 |
| 5,025 |
HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach |
2022 |
SIGMOD |
6.3974766e-05 |
| 5,050 |
CAPE: Explaining Outliers by Counterbalancing |
2019 |
VLDB |
6.3862246e-05 |
| 5,396 |
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs |
2021 |
SIGMOD |
6.2329373e-05 |
| 5,724 |
An Optimal Labeling Scheme for Workflow Provenance Using Skeleton Labels |
2010 |
SIGMOD |
6.108728e-05 |
| 6,082 |
iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks |
2019 |
SIGMOD |
5.9841079e-05 |
| 6,301 |
Evaluating Datalog over Semirings: A Grounding-based Approach |
2024 |
PODS |
5.9213518e-05 |
| 6,419 |
Provenance Views for Module Privacy |
2011 |
PODS |
5.8819368e-05 |
| 6,527 |
Queries with Difference on Probabilistic Databases |
2011 |
VLDB |
5.8509088e-05 |
| 6,544 |
Properties of Inconsistency Measures for Databases |
2021 |
SIGMOD |
5.8461093e-05 |
| 6,576 |
Toward Interpretable and Actionable Data Analysis with Explanations and Causality |
2022 |
VLDB |
5.8364729e-05 |
| 6,664 |
On Multiple Semantics for Declarative Database Repairs |
2020 |
SIGMOD |
5.8090585e-05 |
| 6,932 |
Summarized Causal Explanations For Aggregate Views |
2024 |
SIGMOD |
5.7362362e-05 |
| 7,048 |
Learning to Sample: Counting with Complex Queries |
2020 |
VLDB |
5.7178054e-05 |
| 7,061 |
QAGView: Interactively Summarizing High-Valued Aggregate Query Answers |
2018 |
SIGMOD |
5.7145492e-05 |
| 7,206 |
Selectivity Functions of Range Queries are Learnable* |
2022 |
SIGMOD |
5.6731116e-05 |
| 7,215 |
Enabling Privacy in Provenance-Aware Workflow Systems |
2011 |
CIDR |
5.6697019e-05 |
| 7,614 |
I-Rex: An Interactive Relational Query Explainer for SQL |
2020 |
VLDB |
5.5815004e-05 |
| 7,870 |
Optimizing Iceberg Queries with Complex Joins |
2017 |
SIGMOD |
5.5272726e-05 |
| 8,700 |
Aggregated Deletion Propagation for Counting Conjunctive Query Answers |
2021 |
VLDB |
5.3829336e-05 |
| 8,719 |
DPXPlain: Privately Explaining Aggregate Query Answers |
2023 |
VLDB |
5.3774243e-05 |
| 8,834 |
Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries |
2024 |
SIGMOD |
5.3599176e-05 |
| 8,838 |
The Cost of Representation by Subset Repairs |
2025 |
VLDB |
5.3592132e-05 |
| 8,852 |
LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers |
2019 |
VLDB |
5.357688e-05 |
| 8,970 |
Understanding Queries by Conditional Instances |
2022 |
SIGMOD |
5.3422757e-05 |
| 9,773 |
Fair and Actionable Causal Prescription Ruleset |
2025 |
SIGMOD |
5.2209769e-05 |
| 9,799 |
Opportunities for Data Management Research in the Era of Horizontal AI/ML |
2019 |
VLDB |
5.2181013e-05 |
| 9,842 |
CaJaDE: Explaining Query Results by Augmenting Provenance with Context |
2022 |
VLDB |
5.210037e-05 |
| 9,932 |
iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks |
2018 |
SIGMOD |
5.1955087e-05 |
| 10,174 |
A Unifying Algorithm for Hierarchical Queries |
2026 |
PODS |
5.093636e-05 |
| 10,640 |
Circuits and Formulas for Datalog over Semirings |
2025 |
PODS |
5.093636e-05 |
| 10,710 |
CauSumX: Summarized Causal Explanations For Group-By-Average Queries |
2025 |
SIGMOD |
5.093636e-05 |
| 11,035 |
Hint-QPT: Hints for Robust Query Performance Tuning |
2025 |
VLDB |
5.093636e-05 |
| 11,349 |
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms |
2024 |
VLDB |
5.093636e-05 |
| 11,480 |
Explaining Differentially Private Query Results With DPXPlain |
2023 |
VLDB |
5.093636e-05 |
| 11,811 |
MuSe: Multiple Deletion Semantics for Data Repair |
2020 |
VLDB |
5.093636e-05 |
| 11,861 |
RATest: Explaining Wrong Relational Queries Using Small Examples |
2019 |
SIGMOD |
5.093636e-05 |
| 12,250 |
Provenance-based Dictionary Refinement in Information Extraction |
2013 |
SIGMOD |
5.093636e-05 |
| 13,316 |
PACMMOD V3, N4 (SIGMOD), September 2025: Editorial |
2025 |
SIGMOD |
- |