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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)

Paper ID
12868
Venue
VLDB
Year
2022
Pagerank
5.7278883e-05
Overall Rank
7,003 | 51.96%
DOI
10.14778/3538598.3538603

Incoming Non-self Citations Over Time

Authors

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}
}

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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
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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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