Exploring Databases via Reverse Engineering Ranking Queries with PALEO
Summary: PALEO reverse engineers ranking queries from ranked lists to yield explanatory SQL and full results for exploration. Unique: OLAP-style query synthesis from rankings and mining categorical attributes to guide refinement of input and results. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Kiril Panev
- 2. Sebastian Michel
- 3. Evica Milchevski
- 4. Koninika Pal
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 492 | Query by Output | 2009 | SIGMOD | 0.00021974699 |
| 1,572 | Reverse Engineering Complex Join Queries | 2013 | SIGMOD | 0.00011298251 |
| 2,576 | S4: Top-k Spreadsheet-Style Search for Query Discovery | 2015 | SIGMOD | 8.5112408e-05 |
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