EDA4SUM: Guided Exploration of Data Summaries
Summary: EDA4Sum: guided multi-step data summarization for very large datasets, leveraging EDA to build connected summaries with cumulative utility. Produces k uniform, collectively diverse sets; tunable weights for uniformity, diversity, and novelty; shows multi-step superiority over single-step with expert guidance. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Aurélien Personnaz (CNRS; University Grenoble Alpes)
- 2. Brit Youngmann (Massachusetts Institute of Technology)
- 3. Sihem Amer-Yahia (CNRS; University Grenoble Alpes)
BibTeX Citation
@article{personnaz_vldb22,
title = {{EDA4SUM: Guided Exploration of Data Summaries}},
author = {Personnaz, Aurélien and Youngmann, Brit and Amer-Yahia, Sihem},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3590--3593},
doi = {10.14778/3554821.3554851},
url = {https://doi.org/10.14778/3554821.3554851},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,293 | Intelligent Agents for Data Exploration | 2024 | VLDB | 5.2907112e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,058 | Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning | 2020 | SIGMOD | 9.2480248e-05 |
| 4,631 | Interactive Summarization and Exploration of Top Aggregate Query Answers | 2018 | VLDB | 6.595034e-05 |
| 4,758 | Constructing and Exploring Composite Items | 2010 | SIGMOD | 6.521122e-05 |
| 6,039 | Guided Exploration of User Groups | 2020 | VLDB | 5.9990875e-05 |
| 7,003 | Guided Exploration of Data Summaries | 2022 | VLDB | 5.7278883e-05 |
| 11,672 | Exploring Ratings in Subjective Databases | 2021 | SIGMOD | 5.093636e-05 |
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