Discovering Relative Importance of Skyline Attributes
Summary: Proposes p-skylines that inject relative attribute importance into skyline queries to shrink result sets. A discovery framework uses user-provided superior/inferior examples; existence NP-complete and optimal discovery FNP-complete, but a polynomial-time restricted version using only superior examples is tractable; experiments show accuracy and scalability. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Denis Mindolin
- 2. Jan Chomicki
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 706 | Foundations of Preferences in Database Systems | 2002 | VLDB | 0.00017777858 |
| 1,032 | Preference SQL - Design, Implementation, Experiences | 2002 | VLDB | 0.00014546409 |
| 2,502 | Efficient Skyline Computation over Low-Cardinality Domains | 2007 | VLDB | 8.631993e-05 |
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| 12,488 | On Dominating Your Neighborhood Profitably | 2007 | VLDB | 4.1905499e-05 |
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| 6,090 | Reconciling Skyline and Ranking Queries | 2017 | VLDB | 5.214198e-05 |
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| 9,376 | Output-sensitive Evaluation of Prioritized Skyline Queries | 2015 | SIGMOD | 4.344689e-05 |