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Finding Pareto Optimal Groups: Group-based Skyline

Summary: Generalizes skyline to group Pareto-optimality for k-point groups. Builds a directed skyline graph on the first k layers; proposes two pruning heuristics: point-wise and unit-group-wise, for scalable G-Skyline, validated on NBA and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11125
Venue
VLDB
Year
2015
Pagerank
4.4751356e-05
Overall Rank
8,654 | 39.80%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,387 Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings 2018 VLDB 5.0851965e-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 8 of 8 cited papers.

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

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