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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
- 10862
- Venue
- VLDB
- Year
- 2014
- Pagerank
- 8.884178e-05
- Overall Rank
- 2,400 | 83.33%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 28 of 28 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,454 |
Causal Relational Learning |
2020 |
SIGMOD |
0.00011921443 |
| 2,129 |
MacroBase: Prioritizing Attention in Fast Data |
2017 |
SIGMOD |
9.4799835e-05 |
| 2,158 |
DIFF: A Relational Interface for Large-Scale Data Explanation |
2019 |
VLDB |
9.4117885e-05 |
| 2,655 |
Explaining Query Answers with Explanation-Ready Databases |
2016 |
VLDB |
8.3638668e-05 |
| 2,759 |
Complaint-driven Training Data Debugging for Query 2.0 |
2020 |
SIGMOD |
8.1646193e-05 |
| 2,876 |
Computing the Shapley Value of Facts in Query Answering |
2022 |
SIGMOD |
7.9739469e-05 |
| 3,107 |
Data X-Ray: A Diagnostic Tool for Data Errors |
2015 |
SIGMOD |
7.5549177e-05 |
| 3,322 |
Sketching Linear Classifiers over Data Streams |
2018 |
SIGMOD |
7.217965e-05 |
| 4,358 |
The Complexity of Resilience and Responsibility for Self-Join-Free Conjunctive Queries |
2016 |
VLDB |
6.2499e-05 |
| 5,227 |
Enabling SQL-based Training Data Debugging for Federated Learning |
2022 |
VLDB |
5.6156523e-05 |
| 5,321 |
XInsight: eXplainable Data Analysis Through The Lens of Causality |
2023 |
SIGMOD |
5.5676564e-05 |
| 5,918 |
Banzhaf Values for Facts in Query Answering |
2024 |
SIGMOD |
5.2688869e-05 |
| 5,935 |
Perturbation Analysis of Database Queries |
2016 |
VLDB |
5.2616521e-05 |
| 6,262 |
Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games |
2024 |
SIGMOD |
5.1300221e-05 |
| 6,728 |
On Shapley Value in Data Assemblage Under Independent Utility |
2022 |
VLDB |
4.9443317e-05 |
| 6,779 |
Explaining Inference Queries with Bayesian Optimization |
2021 |
VLDB |
4.9232829e-05 |
| 7,062 |
On Multiple Semantics for Declarative Database Repairs |
2020 |
SIGMOD |
4.8398632e-05 |
| 8,335 |
BugDoc: Algorithms to Debug Computational Processes |
2020 |
SIGMOD |
4.538972e-05 |
| 8,663 |
Advancing Fact Attribution for Query Answering: Aggregate Queries and Novel Algorithms |
2025 |
VLDB |
4.4676883e-05 |
| 8,958 |
Understanding Queries by Conditional Instances |
2022 |
SIGMOD |
4.417947e-05 |
| 9,025 |
Causality-Guided Adaptive Interventional Debugging |
2020 |
SIGMOD |
4.4032759e-05 |
| 9,644 |
Fair and Actionable Causal Prescription Ruleset |
2025 |
SIGMOD |
4.3067693e-05 |
| 10,010 |
Tractability Frontiers of the Shapley Value for Aggregate Conjunctive Queries |
2026 |
PODS |
4.1905499e-05 |
| 10,590 |
Causal DAG Summarization |
2025 |
VLDB |
4.1905499e-05 |
| 10,747 |
Finding Convincing Views to Endorse a Claim |
2025 |
VLDB |
4.1905499e-05 |
| 10,879 |
SDEcho: Efficient Explanation of Aggregated Sequence Difference |
2025 |
VLDB |
4.1905499e-05 |
| 10,957 |
Counterfactual Explanation at Will, with Zero Privacy Leakage |
2024 |
SIGMOD |
4.1905499e-05 |
| 11,764 |
Prioritizing Attention in Fast Data: Principles and Promise |
2017 |
CIDR |
4.1905499e-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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Explaining Query Answers with Explanation-Ready Databases |
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Overview of Data Exploration Techniques |
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VLDB |
5.0033542e-05 |