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QAGView: Interactively Summarizing High-Valued Aggregate Query Answers

Summary: QAGView provides interactive, cluster-based summaries of high-valued aggregate query answers with coverage guarantees. It emphasizes diversity and relevance, enabling parameter tuning and real-time previews of how summaries evolve as settings change. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5589
Venue
SIGMOD
Year
2018
Pagerank
5.7145492e-05
Overall Rank
7,061 | 51.56%
DOI
10.1145/3183713.3193566

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wen_sigmod18,
        title = {{QAGView: Interactively Summarizing High-Valued Aggregate Query Answers}},
        author = {Wen, Yuhao and Zhu, Xiaodan and Roy, Sudeepa and Yang, Jun},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3193566},
        url = {https://dl.acm.org/doi/10.1145/3183713.3193566},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

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

Rank Cited Paper Year Venue Pagerank
1,454 Diversifying Top-K Results 2012 VLDB 0.00010739504
1,807 DisC Diversity: Result Diversification based on Dissimilarity and Coverage 2013 VLDB 9.7054469e-05
4,631 Interactive Summarization and Exploration of Top Aggregate Query Answers 2018 VLDB 6.595034e-05
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