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A locally adaptive data compression scheme

Open access
Bentley, Jon Louis, Sleator, Daniel D., Tarjan, Robert E., Wei, Victor K.·1986·Communications of the ACM

Abstract

A data compression scheme that exploits locality of reference, such as occurs when words are used frequently over short intervals and then fall into long periods of disuse, is described. The scheme is based on a simple heuristic for self-organizing sequential search and on variable-length encodings of integers. We prove that it never performs much worse than Huffman coding and can perform substantially better; experiments on real files show that its performance is usually quite close to that of Huffman coding. Our scheme has many implementation advantages: it is simple, allows fast encoding and decoding, and requires only one pass over the data to be compressed (static Huffman coding takes two passes).

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Metadata

Authors
Bentley, J. L., Sleator, D. D., Tarjan, R. E., & Wei, V. K.
Venue
Communications of the ACM
Published
1986-04
Volume
29
Issue
4
Pages
320-330
ISSN
  • 0001-0782 (ISSN-L)
  • 1557-7317
OpenAlex
W1975965284
Cited by
523
References
0
FWCI
4.85
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A locally adaptive data compression scheme. https://app.cochat.ai/papers/10.1145/5684.5688
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Bentley, J. L., Sleator, D. D., Tarjan, R. E., & Wei, V. K. (1986). A locally adaptive data compression scheme. Communications of the ACM. https://doi.org/10.1145/5684.5688

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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.