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
No non-self incoming citations found for this paper in this database.
Authors
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,222 | Intelligent Agents for Data Exploration | 2024 | VLDB | 4.366098e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 1,992 | Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning | 2020 | SIGMOD | 9.8415851e-05 |
| 4,561 | Constructing and Exploring Composite Items | 2010 | SIGMOD | 6.0758276e-05 |
| 4,608 | Interactive Summarization and Exploration of Top Aggregate Query Answers | 2018 | VLDB | 6.046643e-05 |
| 5,481 | Guided Exploration of User Groups | 2020 | VLDB | 5.483544e-05 |
| 7,200 | Guided Exploration of Data Summaries | 2022 | VLDB | 4.7980895e-05 |
| 11,478 | Exploring Ratings in Subjective Databases | 2021 | SIGMOD | 4.1905499e-05 |
Previous
Page 1 / 1
Next