| 1,652 |
The iBench Integration Metadata Generator |
2016 |
VLDB |
0.00010109142 |
| 1,951 |
Interpretable Data-Based Explanations for Fairness Debugging |
2022 |
SIGMOD |
9.4252389e-05 |
| 2,142 |
Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms |
2016 |
VLDB |
9.0975882e-05 |
| 4,373 |
Data Debugging and Exploration with Vizier |
2019 |
SIGMOD |
6.738145e-05 |
| 4,638 |
Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances |
2019 |
SIGMOD |
6.5919801e-05 |
| 4,768 |
Value Invention in Data Exchange |
2013 |
SIGMOD |
6.5171839e-05 |
| 4,805 |
Efficient Answering of Historical What-if Queries |
2022 |
SIGMOD |
6.5003306e-05 |
| 4,811 |
Uncertainty Annotated Databases - A Lightweight Approach for Approximating Certain Answers |
2019 |
SIGMOD |
6.4983069e-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 |
| 5,456 |
InferDB: In-Database Machine Learning Inference Using Indexes |
2024 |
VLDB |
6.2131252e-05 |
| 5,931 |
Your notebook is not crumby enough, REPLace it |
2020 |
CIDR |
6.0369708e-05 |
| 6,360 |
Approximate Summaries for Why and Why-not Provenance |
2020 |
VLDB |
5.9009081e-05 |
| 6,612 |
TRAMP: Understanding the Behavior of Schema Mappings through Provenance |
2010 |
VLDB |
5.8220265e-05 |
| 6,657 |
Snapshot Semantics for Temporal Multiset Relations |
2019 |
VLDB |
5.8110609e-05 |
| 7,192 |
Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher |
2022 |
SIGMOD |
5.6772818e-05 |
| 7,570 |
Debugging Transactions and Tracking their Provenance with Reenactment |
2017 |
VLDB |
5.5946236e-05 |
| 7,625 |
The Perm Provenance Management System in Action |
2009 |
SIGMOD |
5.5803061e-05 |
| 7,748 |
To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested Data |
2021 |
SIGMOD |
5.5528084e-05 |
| 8,260 |
Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds |
2021 |
SIGMOD |
5.4574671e-05 |
| 8,724 |
FastPDB: Towards Bag-Probabilistic Queries at Interactive Speeds |
2025 |
SIGMOD |
5.3766157e-05 |
| 8,889 |
Provenance-based Data Skipping |
2022 |
VLDB |
5.3512428e-05 |
| 9,194 |
Efficient Approximation of Certain and Possible Answers for Ranking and Window Queries over Uncertain Data |
2023 |
VLDB |
5.3058708e-05 |
| 9,454 |
Debugging Data Exchange with Vagabond |
2011 |
VLDB |
5.2655497e-05 |
| 9,842 |
CaJaDE: Explaining Query Results by Augmenting Provenance with Context |
2022 |
VLDB |
5.210037e-05 |
| 9,843 |
Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb |
2021 |
VLDB |
5.210037e-05 |
| 10,003 |
Adaptive Schema Databases |
2017 |
CIDR |
5.1814573e-05 |
| 10,576 |
Efficient Query Repair for Aggregate Constraints |
2026 |
VLDB |
5.093636e-05 |
| 10,652 |
Smallest Synthetic Witnesses for Conjunctive Queries |
2025 |
PODS |
5.093636e-05 |
| 10,744 |
Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data |
2025 |
SIGMOD |
5.093636e-05 |
| 10,750 |
Alsatian: Optimizing Model Search for Deep Transfer Learning |
2025 |
SIGMOD |
5.093636e-05 |
| 10,991 |
Stress-Testing ML Pipelines with Adversarial Data Corruption |
2025 |
VLDB |
5.093636e-05 |
| 11,118 |
Towards an Objective Metric for Data Value Through Relevance |
2024 |
CIDR |
5.093636e-05 |
| 11,938 |
Provenance Summaries for Answers and Non-Answers |
2018 |
VLDB |
5.093636e-05 |
| 12,042 |
BART in Action: Error Generation and Empirical Evaluations of Data-Cleaning Systems |
2016 |
SIGMOD |
5.093636e-05 |
| 12,139 |
Gain Control over your Integration Evaluations |
2015 |
VLDB |
5.093636e-05 |
| 13,436 |
DataSense: Display Agnostic Data Documentation |
2021 |
CIDR |
- |
| 13,590 |
Sharing and Reproducing Database Applications |
2015 |
VLDB |
- |