EFFICIENT PROCESSING OF RELATIONAL CALCULUS EXPRESSIONS USING RANGE QUERY THEORY (Extended Abstract)
Summary: Defines a relational-calculus subset and evaluates all expressions by range-query theory in space O(N) and time O(N log^d N). With d small per predicate, ~95% of commercial requests on standard RAM run in O(N log N) time and O(N) space. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Dan E. Willard (Bell Communications Research; State University of New York at Albany)
BibTeX Citation
@inproceedings{willard_sigmod84,
title = {{EFFICIENT PROCESSING OF RELATIONAL CALCULUS EXPRESSIONS USING RANGE QUERY THEORY (Extended Abstract)}},
author = {Willard, Dan E.},
series = {{SIGMOD} '84},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/602259.602281},
url = {https://dl.acm.org/doi/10.1145/602259.602281},
year = {1984}
}
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 14,410 | Quasilinear Algorithms for Processing Relational Calculus Expressions (Preliminary Report) | 1990 | PODS | - |
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