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Toward Interpretable and Actionable Data Analysis with Explanations and Causality

Summary: Toward interpretable data analysis in databases, the work blends explanations for result interpretation and troubleshooting with causal reasoning for prescriptive analytics via counterfactuals. Bridges DB tech with ML/statistics for actionable explanations and counterfactuals. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12891
Venue
VLDB
Year
2022
Pagerank
5.0081626e-05
Overall Rank
6,565 | 54.33%
DOI
10.14778/3554821.3554902

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
5,826 Why Not Yet: Fixing a Top-k Ranking that Is Not Fair to Individuals 2023 VLDB 5.3124507e-05
6,153 On Data-Aware Global Explainability of Graph Neural Networks 2023 VLDB 5.1829258e-05
9,644 Fair and Actionable Causal Prescription Ruleset 2025 SIGMOD 4.3109001e-05
10,581 Causal DAG Summarization 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 35 of 35 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
31 Provenance Semirings 2007 PODS 0.0007857786
214 Scorpion: Explaining Away Outliers in Aggregate Queries 2013 VLDB 0.0003363692
597 Computing Iceberg Queries Efficiently 1998 VLDB 0.00019475592
868 Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs 2011 VLDB 0.00015789681
942 A Formal Approach to Finding Explanations for Database Queries 2014 SIGMOD 0.00015155714
1,099 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.00014096312
1,106 Provenance for Aggregate Queries 2011 PODS 0.0001398766
1,371 Tiresias: The Database Oracle for How-To Queries 2012 SIGMOD 0.00012323502
1,449 Causal Relational Learning 2020 SIGMOD 0.0001193267
1,461 Hypothetical Queries in an OLAP Environment 2000 VLDB 0.0001188499
1,646 Caravan: Provisioning for What-If Analysis 2013 CIDR 0.00011036992
2,649 Explaining Query Answers with Explanation-Ready Databases 2016 VLDB 8.3719123e-05
3,104 Computing Local Sensitivities of Counting Queries with Joins 2020 SIGMOD 7.5578613e-05
4,614 Interactive Summarization and Exploration of Top Aggregate Query Answers 2018 VLDB 6.0467204e-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
5,607 HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach 2022 SIGMOD 5.4137872e-05
5,691 Putting Things into Context: Rich Explanations for Query Answers using Join Graphs 2021 SIGMOD 5.3684557e-05
5,733 Explaining Wrong Queries Using Small Examples 2019 SIGMOD 5.3483446e-05
6,124 iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks 2019 SIGMOD 5.1988046e-05
6,546 Properties of Inconsistency Measures for Databases 2021 SIGMOD 5.0185588e-05
7,066 On Multiple Semantics for Declarative Database Repairs 2020 SIGMOD 4.8445108e-05
7,118 QAGView: Interactively Summarizing High-Valued Aggregate Query Answers 2018 SIGMOD 4.8262997e-05
7,251 Learning to Sample: Counting with Complex Queries 2020 VLDB 4.7890519e-05
7,457 Selectivity Functions of Range Queries are Learnable* 2022 SIGMOD 4.7247191e-05
8,066 Optimizing Iceberg Queries with Complex Joins 2017 SIGMOD 4.5937212e-05
8,212 I-Rex: An Interactive Relational Query Explainer for SQL 2020 VLDB 4.5580125e-05
8,721 Aggregated Deletion Propagation for Counting Conjunctive Query Answers 2021 VLDB 4.4608778e-05
8,830 LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers 2019 VLDB 4.4404336e-05
8,954 Understanding Queries by Conditional Instances 2022 SIGMOD 4.4221863e-05
9,703 CaJaDE: Explaining Query Results by Augmenting Provenance with Context 2022 VLDB 4.3005882e-05
9,766 DPXPlain: Privately Explaining Aggregate Query Answers 2023 VLDB 4.2856106e-05
9,779 iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks 2018 SIGMOD 4.2856106e-05
11,616 MuSe: Multiple Deletion Semantics for Data Repair 2020 VLDB 4.1945683e-05
11,666 RATest: Explaining Wrong Relational Queries Using Small Examples 2019 SIGMOD 4.1945683e-05
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