Guided Exploration of Data Summaries
Summary: Formalizes Eda4Sum: guided, sequential data summarization yielding connected, k-uniform, diverse subsets to maximize cumulative utility. Introduces Top1Sum (greedy per-step) and RLSum (DRL-based policy); experiments on three large datasets show superiority over one-shot and EDA baselines, highlighting scalability and need for domain guidance. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Brit Youngmann (Massachusetts Institute of Technology)
- 2. Sihem Amer-Yahia (CNRS; Université Grenoble Alpes)
- 3. Aurelien Personnaz (CNRS; Université Grenoble Alpes)
BibTeX Citation
@article{youngmann_vldb22,
title = {{Guided Exploration of Data Summaries}},
author = {Youngmann, Brit and Amer-Yahia, Sihem and Personnaz, Aurelien},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {9},
pages = {1798--1807},
doi = {10.14778/3538598.3538603},
url = {https://doi.org/10.14778/3538598.3538603},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,932 | Summarized Causal Explanations For Aggregate Views | 2024 | SIGMOD | 5.7362362e-05 |
| 8,888 | TabEE: Tabular Embeddings Explanations | 2024 | SIGMOD | 5.3512451e-05 |
| 9,293 | Intelligent Agents for Data Exploration | 2024 | VLDB | 5.2907112e-05 |
| 9,773 | Fair and Actionable Causal Prescription Ruleset | 2025 | SIGMOD | 5.2209769e-05 |
| 10,313 | Differentially Private Explanations for Clusters | 2026 | SIGMOD | 5.093636e-05 |
| 10,436 | Causal Explanations for Disparate Trends: Where and Why? | 2026 | SIGMOD | 5.093636e-05 |
| 10,441 | Data-Semantics-Aware Recommendation of Diverse Pivot Tables | 2026 | SIGMOD | 5.093636e-05 |
| 10,979 | Finding Convincing Views to Endorse a Claim | 2025 | VLDB | 5.093636e-05 |
| 11,098 | SDEcho: Efficient Explanation of Aggregated Sequence Difference | 2025 | VLDB | 5.093636e-05 |
| 11,592 | EDA4SUM: Guided Exploration of Data Summaries | 2022 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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