An Efficient Bitmap Encoding Scheme for Selection Queries
Summary: Proposes a bitmap encoding for selection queries and shows existing schemes are not optimal for two-sided range queries. Experiments show the encoding yields better space-time tradeoffs versus existing schemes and four hybrids for membership queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chee-Yong Chan (University of Wisconsin)
- 2. Yannis E. Ioannidis (University of Athens; University of Wisconsin)
BibTeX Citation
@inproceedings{chan_sigmod99,
title = {{An Efficient Bitmap Encoding Scheme for Selection Queries}},
author = {Chan, Chee-Yong and Ioannidis, Yannis E.},
series = {{SIGMOD} '99},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/304182.304201},
url = {https://dl.acm.org/doi/10.1145/304182.304201},
year = {1999}
}
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 |
|---|---|---|---|---|
| 104 | Improved Query Performance with Variant Indexes | 1997 | SIGMOD | 0.00033932213 |
| 794 | Bitmap Index Design and Evaluation | 1998 | SIGMOD | 0.00013969303 |
| 1,136 | Bit Transposed Files | 1985 | VLDB | 0.00012027691 |
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