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Storing a Sparse Table with 0 (1) Worst Case Access Time
Open accessAbstract
A data structure for representing a set of n items from a umverse of m items, which uses space n + o(n) and accommodates membership queries m constant time is described.Both the data structure and the query algorithm are easy to ~mplement.
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Cited by
Approximate nearest neighbors: towards removing the curse of dimensionality
Indyk, P., & Motwani, R. (1998) · Proceedings of the thirtieth annual ACM symposium on Theory of computing - STOC '98 · doi:10.1145/276698.276876 · Cited by 4,188
Pagh, R., & Rodler, F. F. (2004) · Journal of Algorithms · doi:10.1016/j.jalgor.2003.12.002 · Cited by 1,045
Searchable symmetric encryption: Improved definitions and efficient constructions
Curtmola, R., Garay, J., Kamara, S., & Ostrovsky, R. (2011) · Journal of Computer Security · doi:10.3233/jcs-2011-0426 · Cited by 914
Raman, R., Raman, V., & Satti, S. R. (2007) · ACM Transactions on Algorithms · doi:10.1145/1290672.1290680 · Cited by 372
Beyond Market Baskets: Generalizing Association Rules to Dependence Rules
Silverstein, C., Brin, S., & Motwani, R. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009713703947 · Cited by 368
Metadata
- Authors
- Fredman, M. L., Komlós, J., & Szemerédi, E.
- Venue
- Journal of the ACM
- Published
- 1984-06-26
- Volume
- 31
- Issue
- 3
- Pages
- 538-544
- ISSN
- 0004-5411 (ISSN-L)
- 1557-735X
- OpenAlex
- W2165621523
- Cited by
- 748
- References
- 0
- FWCI
- 3.62
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Storing a Sparse Table with 0 (1) Worst Case Access Time. https://app.cochat.ai/papers/10.1145/828.1884
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- Fredman, M. L., Komlós, J., & Szemerédi, E. (1984). Storing a Sparse Table with 0 (1) Worst Case Access Time. Journal of the ACM. https://doi.org/10.1145/828.1884
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
