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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)

Paper ID
h1e31c5cf16b191f3
Venue
VLDB
Year
2009
Pagerank
9.2454758e-05
Overall Rank
1,990 | 86.63%
DOI
10.14778/1687627.1687697

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{mindolin_vldb09,
        title = {{Discovering Relative Importance of Skyline Attributes}},
        author = {Mindolin, Denis and Chomicki, Jan},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687627.1687697},
        url = {https://doi.org/10.14778/1687627.1687697},
        year = {2009}
}

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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
671 Foundations of Preferences in Database Systems 2002 VLDB 0.00014929237
1,377 Preference SQL - Design, Implementation, Experiences 2002 VLDB 0.00010871114
2,491 Efficient Skyline Computation over Low-Cardinality Domains 2007 VLDB 8.3921786e-05
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