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Toward Interpretable and Actionable Data Analysis with Explanations and Causality
Summary: Research agenda for non-black-box analytics: explanations make results and workflows interpretable and debuggable, while causal counterfactuals and interventions enable actionable decisions. Bridges database, ML, and statistics across education, law, and health.
(summarized by gpt-5.6-luna on Jul 24 2026)
Paper ID
13079
Venue
VLDB
Year
2022
Pagerank
5.8364729e-05
Overall Rank
6,576 | 54.89%
DOI
10.14778/3554821.3554902
Incoming Non-self Citations Over Time
BibTeX Citation
@article{roy_vldb22,
title = {{Toward Interpretable and Actionable Data Analysis with Explanations and Causality}},
author = {Roy, Sudeepa},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3812--3820},
doi = {10.14778/3554821.3554902},
url = {https://doi.org/10.14778/3554821.3554902},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 36 of 36 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Rank
Cited Paper
Year
Venue
Pagerank
17
Provenance Semirings 2007
PODS
0.00059843817
191
Scorpion: Explaining Away Outliers in Aggregate Queries 2013
VLDB
0.00026096009
577
Computing Iceberg Queries Efficiently 1998
VLDB
0.00016235949
663
A Formal Approach to Finding Explanations for Database Queries 2014
SIGMOD
0.00015174751
735
Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs 2011
VLDB
0.00014522606
806
Provenance for Aggregate Queries 2011
PODS
0.00013890398
858
Interpretable and Informative Explanations of Outcomes 2015
VLDB
0.0001356511
1,096
Tiresias: The Database Oracle for How-To Queries 2012
SIGMOD
0.00012189583
1,399
Computing Optimal Repairs for Functional Dependencies 2018
PODS
0.00010893312
1,845
Hypothetical Queries in an OLAP Environment 2000
VLDB
9.629006e-05
1,952
Caravan: Provisioning for What-If Analysis 2013
CIDR
9.4233049e-05
2,195
Explaining Query Answers with Explanation-Ready Databases 2016
VLDB
8.9713779e-05
2,374
Causal Relational Learning 2020
SIGMOD
8.6755064e-05
2,436
Computing Local Sensitivities of Counting Queries with Joins 2020
SIGMOD
8.5806427e-05
4,631
Interactive Summarization and Exploration of Top Aggregate Query Answers 2018
VLDB
6.595034e-05
4,638
Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances 2019
SIGMOD
6.5919801e-05
4,759
Explaining Wrong Queries Using Small Examples 2019
SIGMOD
6.5207388e-05
5,025
HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach 2022
SIGMOD
6.3974766e-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
6,082
iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks 2019
SIGMOD
5.9841079e-05
6,544
Properties of Inconsistency Measures for Databases 2021
SIGMOD
5.8461093e-05
6,664
On Multiple Semantics for Declarative Database Repairs 2020
SIGMOD
5.8090585e-05
7,048
Learning to Sample: Counting with Complex Queries 2020
VLDB
5.7178054e-05
7,061
QAGView: Interactively Summarizing High-Valued Aggregate Query Answers 2018
SIGMOD
5.7145492e-05
7,206
Selectivity Functions of Range Queries are Learnable* 2022
SIGMOD
5.6731116e-05
7,614
I-Rex: An Interactive Relational Query Explainer for SQL 2020
VLDB
5.5815004e-05
7,870
Optimizing Iceberg Queries with Complex Joins 2017
SIGMOD
5.5272726e-05
8,700
Aggregated Deletion Propagation for Counting Conjunctive Query Answers 2021
VLDB
5.3829336e-05
8,719
DPXPlain: Privately Explaining Aggregate Query Answers 2023
VLDB
5.3774243e-05
8,852
LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers 2019
VLDB
5.357688e-05
8,970
Understanding Queries by Conditional Instances 2022
SIGMOD
5.3422757e-05
9,842
CaJaDE: Explaining Query Results by Augmenting Provenance with Context 2022
VLDB
5.210037e-05
9,932
iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks 2018
SIGMOD
5.1955087e-05
11,811
MuSe: Multiple Deletion Semantics for Data Repair 2020
VLDB
5.093636e-05
11,861
RATest: Explaining Wrong Relational Queries Using Small Examples 2019
SIGMOD
5.093636e-05
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