| 1,683 |
The iBench Integration Metadata Generator |
2016 |
VLDB |
21 |
9.8804382e-05 |
| 1,943 |
Interpretable Data-Based Explanations for Fairness Debugging |
2022 |
SIGMOD |
17 |
9.3254131e-05 |
| 2,054 |
Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms |
2016 |
VLDB |
24 |
9.1158071e-05 |
| 4,451 |
Data Debugging and Exploration with Vizier |
2019 |
SIGMOD |
7 |
6.5922192e-05 |
| 4,741 |
Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances |
2019 |
SIGMOD |
17 |
6.4411456e-05 |
| 4,870 |
Uncertainty Annotated Databases - A Lightweight Approach for Approximating Certain Answers |
2019 |
SIGMOD |
8 |
6.3718189e-05 |
| 4,884 |
Value Invention in Data Exchange |
2013 |
SIGMOD |
8 |
6.3680919e-05 |
| 4,920 |
Efficient Answering of Historical What-if Queries |
2022 |
SIGMOD |
5 |
6.3514733e-05 |
| 5,152 |
CAPE: Explaining Outliers by Counterbalancing |
2019 |
VLDB |
6 |
6.2498545e-05 |
| 5,271 |
InferDB: In-Database Machine Learning Inference Using Indexes |
2024 |
VLDB |
9 |
6.1991633e-05 |
| 5,533 |
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs |
2021 |
SIGMOD |
14 |
6.0906707e-05 |
| 6,048 |
Your notebook is not crumby enough, REPLace it |
2020 |
CIDR |
6 |
5.9024167e-05 |
| 6,488 |
Approximate Summaries for Why and Why-not Provenance |
2020 |
VLDB |
8 |
5.7659318e-05 |
| 6,719 |
TRAMP: Understanding the Behavior of Schema Mappings through Provenance |
2010 |
VLDB |
5 |
5.6973551e-05 |
| 6,799 |
Snapshot Semantics for Temporal Multiset Relations |
2019 |
VLDB |
2 |
5.6779871e-05 |
| 7,316 |
Debugging Transactions and Tracking their Provenance with Reenactment |
2017 |
VLDB |
4 |
5.5524731e-05 |
| 7,336 |
Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher |
2022 |
SIGMOD |
2 |
5.5472715e-05 |
| 7,782 |
The Perm Provenance Management System in Action |
2009 |
SIGMOD |
2 |
5.4525166e-05 |
| 7,884 |
To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested Data |
2021 |
SIGMOD |
4 |
5.4315851e-05 |
| 8,435 |
Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds |
2021 |
SIGMOD |
5 |
5.3324907e-05 |
| 8,490 |
Provenance-based Data Skipping |
2022 |
VLDB |
4 |
5.3302146e-05 |
| 8,895 |
FastPDB: Towards Bag-Probabilistic Queries at Interactive Speeds |
2025 |
SIGMOD |
1 |
5.2534908e-05 |
| 9,383 |
Efficient Approximation of Certain and Possible Answers for Ranking and Window Queries over Uncertain Data |
2023 |
VLDB |
2 |
5.1843659e-05 |
| 9,639 |
Debugging Data Exchange with Vagabond |
2011 |
VLDB |
1 |
5.1451261e-05 |
| 10,028 |
CaJaDE: Explaining Query Results by Augmenting Provenance with Context |
2022 |
VLDB |
2 |
5.0910813e-05 |
| 10,029 |
Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb |
2021 |
VLDB |
1 |
5.0910813e-05 |
| 10,183 |
Adaptive Schema Databases |
2017 |
CIDR |
2 |
5.063596e-05 |
| 10,813 |
Efficient Query Repair for Aggregate Constraints |
2026 |
VLDB |
1 |
4.9769913e-05 |
| 10,997 |
Exploring the Benefits of Just-in-time Model Replacement |
2026 |
VLDB |
0 |
4.9769913e-05 |
| 11,022 |
Q-ACER: Query Aggregate Constraint Efficient Repair System |
2026 |
VLDB |
0 |
4.9769913e-05 |
| 11,104 |
Smallest Synthetic Witnesses for Conjunctive Queries |
2025 |
PODS |
0 |
4.9769913e-05 |
| 11,181 |
Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data |
2025 |
SIGMOD |
0 |
4.9769913e-05 |
| 11,185 |
Alsatian: Optimizing Model Search for Deep Transfer Learning |
2025 |
SIGMOD |
1 |
4.9769913e-05 |
| 11,374 |
Stress-Testing ML Pipelines with Adversarial Data Corruption |
2025 |
VLDB |
0 |
4.9769913e-05 |
| 11,472 |
Towards an Objective Metric for Data Value Through Relevance |
2024 |
CIDR |
0 |
4.9769913e-05 |
| 12,243 |
Provenance Summaries for Answers and Non-Answers |
2018 |
VLDB |
2 |
4.9769913e-05 |
| 12,343 |
BART in Action: Error Generation and Empirical Evaluations of Data-Cleaning Systems |
2016 |
SIGMOD |
0 |
4.9769913e-05 |
| 12,438 |
Gain Control over your Integration Evaluations |
2015 |
VLDB |
1 |
4.9769913e-05 |
| 13,755 |
DataSense: Display Agnostic Data Documentation |
2021 |
CIDR |
0 |
- |
| 13,908 |
Sharing and Reproducing Database Applications |
2015 |
VLDB |
2 |
- |