| 1,869 |
Interpretable Data-Based Explanations for Fairness Debugging |
2022 |
SIGMOD |
0.00010263235 |
| 1,885 |
The iBench Integration Metadata Generator |
2016 |
VLDB |
0.00010206139 |
| 2,642 |
Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms |
2016 |
VLDB |
8.3925184e-05 |
| 4,425 |
Data Debugging and Exploration with Vizier |
2019 |
SIGMOD |
6.1913912e-05 |
| 4,661 |
Efficient Answering of Historical What-if Queries |
2022 |
SIGMOD |
6.0069281e-05 |
| 4,809 |
Uncertainty Annotated Databases - A Lightweight Approach for Approximating Certain Answers |
2019 |
SIGMOD |
5.9035874e-05 |
| 5,132 |
CAPE: Explaining Outliers by Counterbalancing |
2019 |
VLDB |
5.6704051e-05 |
| 5,192 |
Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances |
2019 |
SIGMOD |
5.6324589e-05 |
| 5,252 |
Value Invention in Data Exchange |
2013 |
SIGMOD |
5.6002884e-05 |
| 5,706 |
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs |
2021 |
SIGMOD |
5.3633001e-05 |
| 6,295 |
Your notebook is not crumby enough, REPLace it |
2020 |
CIDR |
5.1200006e-05 |
| 6,358 |
Snapshot Semantics for Temporal Multiset Relations |
2019 |
VLDB |
5.0915048e-05 |
| 6,700 |
Approximate Summaries for Why and Why-not Provenance |
2020 |
VLDB |
4.9534371e-05 |
| 6,790 |
InferDB: In-Database Machine Learning Inference Using Indexes |
2024 |
VLDB |
4.9205968e-05 |
| 6,947 |
TRAMP: Understanding the Behavior of Schema Mappings through Provenance |
2010 |
VLDB |
4.8869805e-05 |
| 6,999 |
Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher |
2022 |
SIGMOD |
4.8629617e-05 |
| 7,477 |
Debugging Transactions and Tracking their Provenance with Reenactment |
2017 |
VLDB |
4.7138771e-05 |
| 7,515 |
The Perm Provenance Management System in Action |
2009 |
SIGMOD |
4.7135369e-05 |
| 7,678 |
To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested Data |
2021 |
SIGMOD |
4.6768157e-05 |
| 7,944 |
Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds |
2021 |
SIGMOD |
4.6089395e-05 |
| 8,886 |
Provenance-based Data Skipping |
2022 |
VLDB |
4.4237386e-05 |
| 9,044 |
Efficient Approximation of Certain and Possible Answers for Ranking and Window Queries over Uncertain Data |
2023 |
VLDB |
4.3997447e-05 |
| 9,363 |
Debugging Data Exchange with Vagabond |
2011 |
VLDB |
4.3472291e-05 |
| 9,702 |
CaJaDE: Explaining Query Results by Augmenting Provenance with Context |
2022 |
VLDB |
4.2964668e-05 |
| 9,703 |
Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb |
2021 |
VLDB |
4.2964668e-05 |
| 9,851 |
Adaptive Schema Databases |
2017 |
CIDR |
4.2680295e-05 |
| 10,289 |
Efficient Query Repair for Aggregate Constraints |
2026 |
VLDB |
4.1905499e-05 |
| 10,371 |
Smallest Synthetic Witnesses for Conjunctive Queries |
2025 |
PODS |
4.1905499e-05 |
| 10,389 |
FastPDB: Towards Bag-Probabilistic Queries at Interactive Speeds |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,473 |
Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,479 |
Alsatian: Optimizing Model Search for Deep Transfer Learning |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,764 |
Stress-Testing ML Pipelines with Adversarial Data Corruption |
2025 |
VLDB |
4.1905499e-05 |
| 10,899 |
Towards an Objective Metric for Data Value Through Relevance |
2024 |
CIDR |
4.1905499e-05 |
| 11,740 |
Provenance Summaries for Answers and Non-Answers |
2018 |
VLDB |
4.1905499e-05 |
| 11,849 |
BART in Action: Error Generation and Empirical Evaluations of Data-Cleaning Systems |
2016 |
SIGMOD |
4.1905499e-05 |
| 11,949 |
Gain Control over your Integration Evaluations |
2015 |
VLDB |
4.1905499e-05 |
| 13,246 |
DataSense: Display Agnostic Data Documentation |
2021 |
CIDR |
- |
| 13,402 |
Sharing and Reproducing Database Applications |
2015 |
VLDB |
- |