Computing A Well-Representative Summary of Conjunctive Query Results
Summary: Computes k-sized summaries of conjunctive query results under cohesion (k-center) and diversity. Leverages oracle-based access to avoid enumeration, yielding O(1)-approximation in near-linear time (in N, poly(k)) and a 2+ε-approximation for k-center on relational data. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Pankaj K. Agarwal
- 2. Aryan Esmailpour
- 3. Xiao Hu
- 4. Stavros Sintos
- 5. Jun Yang
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,003 | Clustering with Set Outliers and Applications in Relational Clustering | 2026 | PODS | 4.1945683e-05 |
| 10,924 | Improved Approximation Algorithms for Relational Clustering | 2024 | PODS | 4.1945683e-05 |
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