LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers
Summary: LensXPlain provides interactive explanations for GROUP-BY aggregates by surfacing contributing tuple subsets. Contributions are measured by intervention or aggravation; ensemble learning selects explanatory attributes for fast, interactive refinement. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhengjie Miao
- 2. Andrew Lee
- 3. Sudeepa Roy
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,565 | Toward Interpretable and Actionable Data Analysis with Explanations and Causality | 2022 | VLDB | 5.0081626e-05 |
| 9,175 | Efficient Exploration of Interesting Aggregates in RDF Graphs | 2021 | SIGMOD | 4.383548e-05 |
| 10,875 | SDEcho: Efficient Explanation of Aggregated Sequence Difference | 2025 | VLDB | 4.1945683e-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 |
|---|---|---|---|---|
| 214 | Scorpion: Explaining Away Outliers in Aggregate Queries | 2013 | VLDB | 0.0003363692 |
| 460 | SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics | 2015 | VLDB | 0.00022516069 |
| 942 | A Formal Approach to Finding Explanations for Database Queries | 2014 | SIGMOD | 0.00015155714 |
| 991 | Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System | 2017 | VLDB | 0.00014807273 |
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| 10,429 | CauSumX: Summarized Causal Explanations For Group-By-Average Queries | 2025 | SIGMOD | 4.1945683e-05 |
| 10,795 | Opening The Black-Box: Explaining Learned Cost Models For Databases | 2025 | VLDB | 4.1945683e-05 |
| 4,614 | Interactive Summarization and Exploration of Top Aggregate Query Answers | 2018 | VLDB | 6.0467204e-05 |
| 10,462 | VQLens: A Demonstration of Vector Query Execution Analysis | 2025 | SIGMOD | 4.1945683e-05 |
| 7,172 | Summarized Causal Explanations For Aggregate Views | 2024 | SIGMOD | 4.8114797e-05 |
| 2,649 | Explaining Query Answers with Explanation-Ready Databases | 2016 | VLDB | 8.3719123e-05 |
| 9,766 | DPXPlain: Privately Explaining Aggregate Query Answers | 2023 | VLDB | 4.2856106e-05 |
| 11,281 | Explaining Differentially Private Query Results With DPXPlain | 2023 | VLDB | 4.1945683e-05 |