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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
10735
Venue
VLDB
Year
2013
Pagerank
4.6607023e-05
Overall Rank
7,750 | 46.09%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
3,340 Toward Computational Fact-Checking 2014 VLDB 7.2030091e-05
6,203 Maximum Rank Query 2015 VLDB 5.1590738e-05
6,632 Global Immutable Region Computation 2014 SIGMOD 4.984576e-05
8,584 Geometric Approaches for Top-k Queries 2017 VLDB 4.4914121e-05
8,825 Determining the Impact Regions of Competing Options in Preference Space 2017 SIGMOD 4.4415078e-05
11,367 tau-LevelIndex: Towards Efficient Query Processing in Continuous Preference Space 2022 SIGMOD 4.1945683e-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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