| 1,867 |
Interpretable Data-Based Explanations for Fairness Debugging
|
2022 |
SIGMOD |
0.00010272055 |
| 1,883 |
The iBench Integration Metadata Generator
|
2016 |
VLDB |
0.00010215862 |
| 2,638 |
Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms
|
2016 |
VLDB |
8.399764e-05 |
| 4,426 |
Data Debugging and Exploration with Vizier
|
2019 |
SIGMOD |
6.1969994e-05 |
| 4,664 |
Efficient Answering of Historical What-if Queries
|
2022 |
SIGMOD |
6.0127053e-05 |
| 4,806 |
Uncertainty Annotated Databases - A Lightweight Approach for Approximating Certain Answers
|
2019 |
SIGMOD |
5.9092698e-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 |
| 5,249 |
Value Invention in Data Exchange
|
2013 |
SIGMOD |
5.6054145e-05 |
| 5,691 |
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs
|
2021 |
SIGMOD |
5.3684557e-05 |
| 6,295 |
Your notebook is not crumby enough, REPLace it
|
2020 |
CIDR |
5.1249204e-05 |
| 6,359 |
Snapshot Semantics for Temporal Multiset Relations
|
2019 |
VLDB |
5.0963959e-05 |
| 6,696 |
Approximate Summaries for Why and Why-not Provenance
|
2020 |
VLDB |
4.9581958e-05 |
| 7,000 |
Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher
|
2022 |
SIGMOD |
4.8676312e-05 |
| 7,478 |
Debugging Transactions and Tracking their Provenance with Reenactment
|
2017 |
VLDB |
4.7184026e-05 |
| 7,678 |
To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested Data
|
2021 |
SIGMOD |
4.6813062e-05 |
| 7,941 |
Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds
|
2021 |
SIGMOD |
4.613363e-05 |
| 8,886 |
Provenance-based Data Skipping
|
2022 |
VLDB |
4.4279829e-05 |
| 9,044 |
Efficient Approximation of Certain and Possible Answers for Ranking and Window Queries over Uncertain Data
|
2023 |
VLDB |
4.4039656e-05 |
| 9,703 |
CaJaDE: Explaining Query Results by Augmenting Provenance with Context
|
2022 |
VLDB |
4.3005882e-05 |
| 9,704 |
Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb
|
2021 |
VLDB |
4.3005882e-05 |
| 9,851 |
Adaptive Schema Databases
|
2017 |
CIDR |
4.2721228e-05 |
| 10,895 |
Towards an Objective Metric for Data Value Through Relevance
|
2024 |
CIDR |
4.1945683e-05 |
| 11,733 |
Provenance Summaries for Answers and Non-Answers
|
2018 |
VLDB |
4.1945683e-05 |
| 11,841 |
BART in Action: Error Generation and Empirical Evaluations of Data-Cleaning Systems
|
2016 |
SIGMOD |
4.1945683e-05 |
| 11,941 |
Gain Control over your Integration Evaluations
|
2015 |
VLDB |
4.1945683e-05 |
| 13,018 |
MULTIKEY RETRIEVAL from K-d TREES and QUAD-TREES
|
1985 |
SIGMOD |
4.1945683e-05 |
| 13,233 |
DataSense: Display Agnostic Data Documentation
|
2021 |
CIDR |
- |
| 13,389 |
Sharing and Reproducing Database Applications
|
2015 |
VLDB |
- |
| 14,237 |
A Relational Database Design in Support of Standard Medical Terminology in Multi-domain Knowledge Bases
|
1988 |
SIGMOD |
- |