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Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative

Summary: Compact regret-ratio set as a maxima for linear preferences, smaller than the convex hull. 2D: optimal linearithmic skyline; higher dims NP-hard; offers linearithmic-time approximation with tunable regret guarantees; experiments confirm efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h13a0e400fcf62bf4
Venue
SIGMOD
Year
2017
Pagerank
6.3897334e-05
Overall Rank
4,831 | 67.53%
DOI
10.1145/3035918.3035932

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{asudeh_sigmod17,
        title = {{Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative}},
        author = {Asudeh, Abolfazl and Nazi, Azade and Zhang, Nan and Das, Gautam},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3035932},
        url = {https://dl.acm.org/doi/10.1145/3035918.3035932},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Rank Cited Paper Year Venue Pagerank
5 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0010679641
342 The Onion Technique: Indexing for Linear Optimization Queries 2000 SIGMOD 0.00020530255
817 Finding k-Dominant Skylines in High Dimensional Space 2006 SIGMOD 0.00013672764
1,087 Regret-Minimizing Representative Databases 2010 VLDB 0.00012097722
2,105 Computing k-Regret Minimizing Sets 2014 VLDB 9.0330207e-05
2,561 Answering Top-k Queries Using Views 2006 VLDB 8.2977193e-05
3,068 Towards Robust Indexing for Ranked Queries 2006 VLDB 7.6867401e-05
5,786 k-Regret Queries with Nonlinear Utilities 2015 VLDB 5.9954861e-05
8,547 Discovering the Skyline of Web Databases 2016 VLDB 5.3171862e-05
12,376 Query Reranking As A Service 2016 VLDB 4.9793485e-05
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