LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers
Summary: LensXPlain interactively explains surprising GROUP BY aggregates by surfacing predicate-defined tuple subsets that drive an output or ranking via intervention and aggravation semantics. It combines attribute recommendation through ensemble learning with optimized, visual explanation refinement. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhengjie Miao (Duke University)
- 2. Andrew Lee (Duke University)
- 3. Sudeepa Roy (Duke University)
BibTeX Citation
@article{miao_vldb19,
title = {{LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers}},
author = {Miao, Zhengjie and Lee, Andrew and Roy, Sudeepa},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {12},
pages = {1898--1901},
doi = {10.14778/3352063.3352094},
url = {https://doi.org/10.14778/3352063.3352094},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,576 | Toward Interpretable and Actionable Data Analysis with Explanations and Causality | 2022 | VLDB | 5.8364729e-05 |
| 9,339 | Efficient Exploration of Interesting Aggregates in RDF Graphs | 2021 | SIGMOD | 5.2869213e-05 |
| 11,098 | SDEcho: Efficient Explanation of Aggregated Sequence Difference | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 191 | Scorpion: Explaining Away Outliers in Aggregate Queries | 2013 | VLDB | 0.00026096009 |
| 410 | SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics | 2015 | VLDB | 0.0001890421 |
| 663 | A Formal Approach to Finding Explanations for Database Queries | 2014 | SIGMOD | 0.00015174751 |
| 986 | Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System | 2017 | VLDB | 0.0001281777 |
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