| 5,104 |
Guaranteeing the O~(AGM/OUT) Runtime for Uniform Sampling and Size Estimation over Joins |
2023 |
PODS |
5.6946113e-05 |
| 5,128 |
CAPE: Explaining Outliers by Counterbalancing |
2019 |
VLDB |
5.6758584e-05 |
| 5,191 |
Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances |
2019 |
SIGMOD |
5.6378768e-05 |
| 5,209 |
Explaining Outputs in Modern Data Analytics |
2016 |
VLDB |
5.629362e-05 |
| 5,222 |
Enabling SQL-based Training Data Debugging for Federated Learning |
2022 |
VLDB |
5.6210545e-05 |
| 5,270 |
Annotated XML: Queries and Provenance |
2008 |
PODS |
5.5963545e-05 |
| 5,364 |
A Quest for Beauty and Wealth (or, Business Processes for Database Researchers) |
2011 |
PODS |
5.5461492e-05 |
| 5,418 |
High-Level Why-Not Explanations using Ontologies |
2015 |
PODS |
5.5178123e-05 |
| 5,445 |
QFix: Diagnosing Errors through Query Histories |
2017 |
SIGMOD |
5.5020909e-05 |
| 5,487 |
SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra |
2020 |
VLDB |
5.4791501e-05 |
| 5,638 |
Circuit Treewidth, Sentential Decision, and Query Compilation |
2017 |
PODS |
5.3965476e-05 |
| 5,639 |
Cover or Pack: New Upper and Lower Bounds for Massively Parallel Joins |
2021 |
PODS |
5.393897e-05 |
| 5,691 |
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs |
2021 |
SIGMOD |
5.3684557e-05 |
| 5,708 |
Lineage-driven Fault Injection |
2015 |
SIGMOD |
5.3603939e-05 |
| 5,733 |
Explaining Wrong Queries Using Small Examples |
2019 |
SIGMOD |
5.3483446e-05 |
| 5,779 |
Lenses: An On-Demand Approach to ETL |
2015 |
VLDB |
5.3307398e-05 |
| 5,916 |
Banzhaf Values for Facts in Query Answering |
2024 |
SIGMOD |
5.273953e-05 |
| 5,944 |
DBSP: Automatic Incremental View Maintenance for Rich Query Languages |
2023 |
VLDB |
5.2628186e-05 |
| 5,992 |
Evaluating Datalog over Semirings: A Grounding-based Approach |
2024 |
PODS |
5.2415551e-05 |
| 6,084 |
Distributed Provenance Compression |
2017 |
SIGMOD |
5.2196728e-05 |
| 6,156 |
Optimizing Tensor Programs on Flexible Storage |
2023 |
SIGMOD |
5.1802603e-05 |
| 6,186 |
On Provenance Minimization |
2011 |
PODS |
5.166082e-05 |
| 6,274 |
Classification of Annotation Semirings over Query Containment |
2012 |
PODS |
5.1321227e-05 |
| 6,278 |
Uncertainty Aware Query Execution Time Prediction |
2014 |
VLDB |
5.1309442e-05 |
| 6,291 |
Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines |
2021 |
CIDR |
5.1269764e-05 |
| 6,359 |
Snapshot Semantics for Temporal Multiset Relations |
2019 |
VLDB |
5.0963959e-05 |
| 6,400 |
iOLAP: Managing Uncertainty for Efficient Incremental OLAP |
2016 |
SIGMOD |
5.0803518e-05 |
| 6,409 |
Fine-Grained Lineage for Safer Notebook Interactions |
2021 |
VLDB |
5.0756653e-05 |
| 6,415 |
Queries with Difference on Probabilistic Databases |
2011 |
VLDB |
5.0731258e-05 |
| 6,534 |
Automatic Rule Refinement for Information Extraction |
2010 |
VLDB |
5.0244622e-05 |
| 6,565 |
Toward Interpretable and Actionable Data Analysis with Explanations and Causality |
2022 |
VLDB |
5.0081626e-05 |
| 6,643 |
Query Refinement for Diversity Constraint Satisfaction |
2024 |
VLDB |
4.9786132e-05 |
| 6,662 |
Selective Provenance for Datalog Programs Using Top-K Queries |
2015 |
VLDB |
4.9704872e-05 |
| 6,696 |
Approximate Summaries for Why and Why-not Provenance |
2020 |
VLDB |
4.9581958e-05 |
| 6,943 |
TRAMP: Understanding the Behavior of Schema Mappings through Provenance |
2010 |
VLDB |
4.8916728e-05 |
| 6,997 |
Tractable Lineages on Treelike Instances: Limits and Extensions |
2016 |
PODS |
4.8676446e-05 |
| 7,065 |
Fast Matrix Multiplication for Query Processing |
2024 |
PODS |
4.8447515e-05 |
| 7,066 |
On Multiple Semantics for Declarative Database Repairs |
2020 |
SIGMOD |
4.8445108e-05 |
| 7,122 |
Parallel Algorithms for Sparse Matrix Multiplication and Join-Aggregate Queries |
2020 |
PODS |
4.8252188e-05 |
| 7,280 |
I4E: Interactive Investigation of Iterative Information Extraction |
2010 |
SIGMOD |
4.778826e-05 |
| 7,342 |
Optimizing Recursive Queries with Program Synthesis |
2022 |
SIGMOD |
4.7576316e-05 |
| 7,364 |
ExplainED: Explanations for EDA Notebooks |
2020 |
VLDB |
4.7519211e-05 |
| 7,482 |
Provenance-Enabled Explainable AI |
2024 |
SIGMOD |
4.7180617e-05 |
| 7,491 |
Saibot: A Differentially Private Data Search Platform |
2023 |
VLDB |
4.7180617e-05 |
| 7,556 |
Interactive Query Explanations Using Fine Grained Provenance |
2022 |
SIGMOD |
4.7117814e-05 |
| 7,720 |
Provenance: On and Behind the Screens |
2016 |
SIGMOD |
4.6684701e-05 |
| 7,864 |
Differentially Private Data Release over Multiple Tables |
2023 |
PODS |
4.6327272e-05 |
| 7,920 |
JoinBoost: Grow Trees Over Normalized Data Using Only SQL |
2023 |
VLDB |
4.6163888e-05 |
| 7,941 |
Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds |
2021 |
SIGMOD |
4.613363e-05 |
| 8,125 |
The Complexity of Why-Provenance for Datalog Queries |
2024 |
PODS |
4.5797807e-05 |