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Computing Immutable Regions for Subspace Top-k Queries

Summary: Computes per-dimension immutable weight regions for subspace top-k with linear preferences, indicating ranges that keep the result. Pruning and thresholding trim non-result work, yielding robust, resource-efficient algorithm validated on high-dim data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10923
Venue
VLDB
Year
2013
Pagerank
5.5407909e-05
Overall Rank
7,806 | 46.45%
DOI
10.14778/2535568.2535571

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{mouratidis_vldb13,
        title = {{Computing Immutable Regions for Subspace Top-k Queries}},
        author = {Mouratidis, Kyriakos and Pang, HweeHwa},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {2},
        pages = {73--84},
        doi = {10.14778/2535568.2535571},
        url = {https://doi.org/10.14778/2535568.2535571},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
3,127 Toward Computational Fact-Checking 2014 VLDB 7.7308958e-05
6,249 Maximum Rank Query 2015 VLDB 5.9418925e-05
6,830 Global Immutable Region Computation 2014 SIGMOD 5.759977e-05
8,665 Geometric Approaches for Top-k Queries 2017 VLDB 5.3884685e-05
9,010 Determining the Impact Regions of Competing Options in Preference Space 2017 SIGMOD 5.3333957e-05
11,565 tau-LevelIndex: Towards Efficient Query Processing in Continuous Preference Space 2022 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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