| 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 |
| 5,931 |
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 |
| 6,657 |
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 |
| 7,748 |
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 |
| 8,889 |
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 |
| 9,842 |
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 |
| 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 |
| 13,217 |
MULTIKEY RETRIEVAL from K-d TREES and QUAD-TREES
|
1985 |
SIGMOD |
5.093636e-05 |
| 13,436 |
DataSense: Display Agnostic Data Documentation
|
2021 |
CIDR |
- |
| 13,590 |
Sharing and Reproducing Database Applications
|
2015 |
VLDB |
- |
| 14,437 |
A Relational Database Design in Support of Standard Medical Terminology in Multi-domain Knowledge Bases
|
1988 |
SIGMOD |
- |