DBScholar

Back to papers

Randomized Multi-pass Streaming Skyline Algorithms

Summary: RAND is the first randomized skyline algorithm, using multi-pass streaming over external data without preprocessing and achieving near-optimal worst-case performance. It is distributable, supports partially ordered attributes, and remains robust under data variations. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10077
Venue
VLDB
Year
2009
Pagerank
6.4333573e-05
Overall Rank
4,941 | 66.11%
DOI
10.14778/1687627.1687638

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{sarma_vldb09,
        title = {{Randomized Multi-pass Streaming Skyline Algorithms}},
        author = {Sarma, Atish Das and Lall, Ashwin and Nanongkai, Danupon and Xu, Jun},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687627.1687638},
        url = {https://doi.org/10.14778/1687627.1687638},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers