Scalable Skyline Computation Using Object-based Space Partitioning
Summary: Dynamic object-based space-partitioning index accelerates skyline computation, integrated with sort-based skyline algorithms. Reduces CPU-bound dominance checks via bitwise operations; theory and experiments show scalable performance as size and dimensionality grow. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shiming Zhang (University of Hong Kong)
- 2. Nikos Mamoulis (University of Hong Kong)
- 3. David W. Cheung (University of Hong Kong)
BibTeX Citation
@inproceedings{zhang_sigmod09,
title = {{Scalable Skyline Computation Using Object-based Space Partitioning}},
author = {Zhang, Shiming and Mamoulis, Nikos and Cheung, David W.},
series = {{SIGMOD} '09},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1559845.1559897},
url = {https://dl.acm.org/doi/10.1145/1559845.1559897},
year = {2009}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,501 | Skyline Operator on Anti-correlated Distributions | 2013 | VLDB | 5.3131213e-05 |
| 9,538 | QSkycube: Efficient Skycube Computation Using Point-Based Space Partitioning | 2011 | VLDB | 5.151324e-05 |
| 12,325 | Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures | 2017 | SIGMOD | 4.9605343e-05 |
| 12,502 | Work-Efficient Parallel Skyline Computation for the GPU | 2015 | VLDB | 4.9605343e-05 |
| 12,804 | Efficient Skyline Evaluation over Partially Ordered Domains | 2010 | VLDB | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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