| 1,683 |
The iBench Integration Metadata Generator
|
2016 |
VLDB |
9.8804382e-05 |
| 1,943 |
Interpretable Data-Based Explanations for Fairness Debugging
|
2022 |
SIGMOD |
9.3254131e-05 |
| 2,054 |
Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms
|
2016 |
VLDB |
9.1158071e-05 |
| 4,451 |
Data Debugging and Exploration with Vizier
|
2019 |
SIGMOD |
6.5922192e-05 |
| 4,741 |
Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances
|
2019 |
SIGMOD |
6.4411456e-05 |
| 4,870 |
Uncertainty Annotated Databases - A Lightweight Approach for Approximating Certain Answers
|
2019 |
SIGMOD |
6.3718189e-05 |
| 4,884 |
Value Invention in Data Exchange
|
2013 |
SIGMOD |
6.3680919e-05 |
| 4,920 |
Efficient Answering of Historical What-if Queries
|
2022 |
SIGMOD |
6.3514733e-05 |
| 5,152 |
CAPE: Explaining Outliers by Counterbalancing
|
2019 |
VLDB |
6.2498545e-05 |
| 5,533 |
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs
|
2021 |
SIGMOD |
6.0906707e-05 |
| 6,048 |
Your notebook is not crumby enough, REPLace it
|
2020 |
CIDR |
5.9024167e-05 |
| 6,488 |
Approximate Summaries for Why and Why-not Provenance
|
2020 |
VLDB |
5.7659318e-05 |
| 6,799 |
Snapshot Semantics for Temporal Multiset Relations
|
2019 |
VLDB |
5.6779871e-05 |
| 7,316 |
Debugging Transactions and Tracking their Provenance with Reenactment
|
2017 |
VLDB |
5.5524731e-05 |
| 7,336 |
Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher
|
2022 |
SIGMOD |
5.5472715e-05 |
| 7,884 |
To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested Data
|
2021 |
SIGMOD |
5.4315851e-05 |
| 8,435 |
Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds
|
2021 |
SIGMOD |
5.3324907e-05 |
| 8,490 |
Provenance-based Data Skipping
|
2022 |
VLDB |
5.3302146e-05 |
| 9,383 |
Efficient Approximation of Certain and Possible Answers for Ranking and Window Queries over Uncertain Data
|
2023 |
VLDB |
5.1843659e-05 |
| 10,028 |
CaJaDE: Explaining Query Results by Augmenting Provenance with Context
|
2022 |
VLDB |
5.0910813e-05 |
| 10,029 |
Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb
|
2021 |
VLDB |
5.0910813e-05 |
| 10,183 |
Adaptive Schema Databases
|
2017 |
CIDR |
5.063596e-05 |
| 11,472 |
Towards an Objective Metric for Data Value Through Relevance
|
2024 |
CIDR |
4.9769913e-05 |
| 12,243 |
Provenance Summaries for Answers and Non-Answers
|
2018 |
VLDB |
4.9769913e-05 |
| 12,343 |
BART in Action: Error Generation and Empirical Evaluations of Data-Cleaning Systems
|
2016 |
SIGMOD |
4.9769913e-05 |
| 12,438 |
Gain Control over your Integration Evaluations
|
2015 |
VLDB |
4.9769913e-05 |
| 13,513 |
MULTIKEY RETRIEVAL from K-d TREES and QUAD-TREES
|
1985 |
SIGMOD |
4.9769913e-05 |
| 13,755 |
DataSense: Display Agnostic Data Documentation
|
2021 |
CIDR |
- |
| 13,908 |
Sharing and Reproducing Database Applications
|
2015 |
VLDB |
- |
| 14,753 |
A Relational Database Design in Support of Standard Medical Terminology in Multi-domain Knowledge Bases
|
1988 |
SIGMOD |
- |