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Supporting Ranking and Clustering as Generalized Order-By and Group-By

Summary: Generalizes GROUP BY to flexible clustering of Boolean results and introduces ClusterRank, unifying ranking with clustering in the DBMS. Uses a bitmap-index summary-based evaluation to fuse Boolean predicates, clustering, and ranking, outperforming crude glue while preserving clustering quality. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3907
Venue
SIGMOD
Year
2007
Pagerank
5.7652375e-05
Overall Rank
6,815 | 53.25%
DOI
10.1145/1247480.1247496

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{li_sigmod07,
        title = {{Supporting Ranking and Clustering as Generalized Order-By and Group-By}},
        author = {Li, Chengkai and Wang, Min and Lim, Lipyeow and Wang, Haixun and Chang, Kevin Chen-Chuan},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247496},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247496},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
3,881 Using Trees to Depict a Forest 2009 VLDB 7.0490549e-05
6,893 Skimmer: Rapid Scrolling of Relational Query Results 2012 SIGMOD 5.7446791e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

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