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
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Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,172 | Summarized Causal Explanations For Aggregate Views | 2024 | SIGMOD | 4.8114797e-05 |
| 8,862 | TabEE: Tabular Embeddings Explanations | 2024 | SIGMOD | 4.4331977e-05 |
| 9,219 | Intelligent Agents for Data Exploration | 2024 | VLDB | 4.3702863e-05 |
| 9,644 | Fair and Actionable Causal Prescription Ruleset | 2025 | SIGMOD | 4.3109001e-05 |
| 10,015 | Differentially Private Explanations for Clusters | 2026 | SIGMOD | 4.1945683e-05 |
| 10,147 | Causal Explanations for Disparate Trends: Where and Why? | 2026 | SIGMOD | 4.1945683e-05 |
| 10,152 | Data-Semantics-Aware Recommendation of Diverse Pivot Tables | 2026 | SIGMOD | 4.1945683e-05 |
| 10,740 | Finding Convincing Views to Endorse a Claim | 2025 | VLDB | 4.1945683e-05 |
| 10,875 | SDEcho: Efficient Explanation of Aggregated Sequence Difference | 2025 | VLDB | 4.1945683e-05 |
| 11,394 | EDA4SUM: Guided Exploration of Data Summaries | 2022 | VLDB | 4.1945683e-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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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,368 | Pre-training Summarization Models of Structured Datasets for Cardinality Estimation | 2022 | VLDB | 5.0937722e-05 |
| 5,472 | Guided Exploration of User Groups | 2020 | VLDB | 5.4888146e-05 |
| 7,872 | Probabilistic Database Summarization for Interactive Data Exploration | 2017 | VLDB | 4.6307184e-05 |
| 10,927 | Computing A Well-Representative Summary of Conjunctive Query Results | 2024 | PODS | 4.1945683e-05 |
| 11,449 | Data Summarization with Hierarchical Taxonomy | 2021 | SIGMOD | 4.1945683e-05 |
| 9,219 | Intelligent Agents for Data Exploration | 2024 | VLDB | 4.3702863e-05 |
| 1,099 | Interpretable and Informative Explanations of Outcomes | 2015 | VLDB | 0.00014096312 |
| 4,540 | Automating Exploratory Data Analysis via Machine Learning: An Overview | 2020 | SIGMOD | 6.1033443e-05 |
| 8,365 | Efficient Summarization Framework for Multi-Attribute Uncertain Data | 2014 | SIGMOD | 4.5357797e-05 |
| 11,394 | EDA4SUM: Guided Exploration of Data Summaries | 2022 | VLDB | 4.1945683e-05 |