DBScholar

Back to papers

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)

Paper ID
1985
Venue
PODS
Year
2024
Pagerank
5.3766157e-05
Overall Rank
8,728 | 40.12%
DOI
10.1145/3695835

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{agarwal_pods24,
        address = {New York, NY, USA},
        series = {{PODS} '24},
        title = {{Computing A Well-Representative Summary of Conjunctive Query Results}},
        url = {https://dl.acm.org/doi/10.1145/3695835},
        doi = {10.1145/3695835},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Agarwal, Pankaj K. and Esmailpour, Aryan and Hu, Xiao and Sintos, Stavros and Yang, Jun},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
9,719 Subset Sampling over Joins 2026 PODS 5.2319816e-05
10,153 Faster Relational Algorithms Using Geometric Data Structures 2026 PODS 5.093636e-05
10,176 Clustering with Set Outliers and Applications in Relational Clustering 2026 PODS 5.093636e-05
10,180 Query Answering Under Volume-Based Diversity Functions 2026 PODS 5.093636e-05
11,144 Improved Approximation Algorithms for Relational Clustering 2024 PODS 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
54 On Random Sampling over Joins 1999 SIGMOD 0.00040810225
149 New Sampling-Based Summary Statistics for Improving Approximate Query Answers 1998 SIGMOD 0.00029226907
257 The History of Histograms (abridged) 2003 VLDB 0.00023154793
267 Optimal Histograms with Quality Guarantees 1998 VLDB 0.00022798161
451 Mergeable Summaries 2012 PODS 0.00018151445
802 Random Sampling over Joins Revisited 2018 SIGMOD 0.00013907725
1,156 Wavelet Synopses with Error Guarantees 2002 SIGMOD 0.00011929041
1,908 Max-Sum Diversification, Monotone Submodular Functions and Dynamic Updates 2012 PODS 9.5010932e-05
3,453 On Join Sampling and the Hardness of Combinatorial Output-Sensitive Join Algorithms 2023 PODS 7.4004131e-05
3,941 Guaranteeing the O~(AGM/OUT) Runtime for Uniform Sampling and Size Estimation over Joins 2023 PODS 7.0074268e-05
4,630 Efficient Join Synopsis Maintenance for Data Warehouse 2020 SIGMOD 6.5955933e-05
5,918 Towards Tractability of the Diversity of Query Answers: Ultrametrics to the Rescue 2024 PODS 6.0427671e-05
6,206 Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing 2021 SIGMOD 5.9443409e-05
6,412 Ranked Enumeration of Join Queries with Projections 2022 VLDB 5.8836116e-05
9,073 Efficient Indexes for Diverse Top-k Range Queries 2020 PODS 5.3251649e-05
11,144 Improved Approximation Algorithms for Relational Clustering 2024 PODS 5.093636e-05
11,175 Faster Algorithms for Fair Max-Min Diversification in Rd 2024 SIGMOD 5.093636e-05
Previous Page 1 / 1 Next

Semantically Similar Papers