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Causality and Explanations in Databases
Summary: Survey/tutorial on causality and explanations in data management, bridging databases and AI. Proposes a unified framework, surveys theory and applications, and links causality to provenance, deletion propagation, why-not queries, and OLAP; outlines future DB research.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 10861
- Venue
- VLDB
- Year
- 2014
- Pagerank
- 8.8928361e-05
- Overall Rank
- 2,402 | 83.30%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 28 of 28 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,449 |
Causal Relational Learning |
2020 |
SIGMOD |
0.0001193267 |
| 2,126 |
MacroBase: Prioritizing Attention in Fast Data |
2017 |
SIGMOD |
9.4887794e-05 |
| 2,154 |
DIFF: A Relational Interface for Large-Scale Data Explanation |
2019 |
VLDB |
9.4208667e-05 |
| 2,649 |
Explaining Query Answers with Explanation-Ready Databases |
2016 |
VLDB |
8.3719123e-05 |
| 2,753 |
Complaint-driven Training Data Debugging for Query 2.0 |
2020 |
SIGMOD |
8.1724339e-05 |
| 2,868 |
Computing the Shapley Value of Facts in Query Answering |
2022 |
SIGMOD |
7.9816425e-05 |
| 3,105 |
Data X-Ray: A Diagnostic Tool for Data Errors |
2015 |
SIGMOD |
7.5568954e-05 |
| 3,319 |
Sketching Linear Classifiers over Data Streams |
2018 |
SIGMOD |
7.226439e-05 |
| 4,361 |
The Complexity of Resilience and Responsibility for Self-Join-Free Conjunctive Queries |
2016 |
VLDB |
6.2559141e-05 |
| 5,222 |
Enabling SQL-based Training Data Debugging for Federated Learning |
2022 |
VLDB |
5.6210545e-05 |
| 5,313 |
XInsight: eXplainable Data Analysis Through The Lens of Causality |
2023 |
SIGMOD |
5.573009e-05 |
| 5,916 |
Banzhaf Values for Facts in Query Answering |
2024 |
SIGMOD |
5.273953e-05 |
| 5,934 |
Perturbation Analysis of Database Queries |
2016 |
VLDB |
5.266698e-05 |
| 6,262 |
Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games |
2024 |
SIGMOD |
5.1349507e-05 |
| 6,723 |
On Shapley Value in Data Assemblage Under Independent Utility |
2022 |
VLDB |
4.9490816e-05 |
| 6,779 |
Explaining Inference Queries with Bayesian Optimization |
2021 |
VLDB |
4.9280116e-05 |
| 7,066 |
On Multiple Semantics for Declarative Database Repairs |
2020 |
SIGMOD |
4.8445108e-05 |
| 8,341 |
BugDoc: Algorithms to Debug Computational Processes |
2020 |
SIGMOD |
4.5433282e-05 |
| 8,665 |
Advancing Fact Attribution for Query Answering: Aggregate Queries and Novel Algorithms |
2025 |
VLDB |
4.471975e-05 |
| 8,954 |
Understanding Queries by Conditional Instances |
2022 |
SIGMOD |
4.4221863e-05 |
| 9,024 |
Causality-Guided Adaptive Interventional Debugging |
2020 |
SIGMOD |
4.4075011e-05 |
| 9,644 |
Fair and Actionable Causal Prescription Ruleset |
2025 |
SIGMOD |
4.3109001e-05 |
| 10,010 |
Tractability Frontiers of the Shapley Value for Aggregate Conjunctive Queries |
2026 |
PODS |
4.1945683e-05 |
| 10,581 |
Causal DAG Summarization |
2025 |
VLDB |
4.1945683e-05 |
| 10,740 |
Finding Convincing Views to Endorse a Claim |
2025 |
VLDB |
4.1945683e-05 |
| 10,875 |
SDEcho: Efficient Explanation of Aggregated Sequence Difference |
2025 |
VLDB |
4.1945683e-05 |
| 10,954 |
Counterfactual Explanation at Will, with Zero Privacy Leakage |
2024 |
SIGMOD |
4.1945683e-05 |
| 11,756 |
Prioritizing Attention in Fast Data: Principles and Promise |
2017 |
CIDR |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Overview of Data Exploration Techniques |
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