The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A universal data compression system
Abstract
A universal data compression algorithm is described which is capable of compressing long strings generated by a "finitely generated" source, with a near optimum per symbol length without prior knowledge of the source. This class of sources may be viewed as a generalization of Markov sources to random fields. Moreover, the algorithm does not require a working storage much larger than that needed to describe the source generating parameters.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Modeling by shortest data description
Rissanen, J. (1978) · Automatica · doi:10.1016/0005-1098(78)90005-5 · Cited by 6,011
Self-citationCompression of individual sequences via variable-rate coding
Ziv, J., & Lempel, A. (1978) · IEEE Transactions on Information Theory · doi:10.1109/tit.1978.1055934 · Cited by 3,432
On entropy maximization principle
Akaike, H. (1977) · Medical Entomology and Zoology · Cited by 634
Rissanen, J., & Langdon, G. (1981) · IEEE Transactions on Information Theory · doi:10.1109/tit.1981.1056282 · Cited by 454
Self-citationKrishnaiah, P. R. (1978) · Biometrics · doi:10.2307/2530627 · Cited by 312
Cited by
The minimum description length principle in coding and modeling
Barron, A., Rissanen, J., & Yu, B. (1998) · IEEE Transactions on Information Theory · doi:10.1109/18.720554 · Cited by 1,019
Self-citationComputational Mechanics: Pattern and Prediction, Structure and Simplicity
Shalizi, C. R., & Crutchfield, J. P. (2001) · Journal of Statistical Physics · doi:10.1023/a:1010388907793 · Cited by 471
The power of amnesia: Learning probabilistic automata with variable memory length
Ron, D., Singer, Y., & Tishby, N. (1997) · Machine Learning · doi:10.1007/bf00114008 · Cited by 447
Universal prediction of individual sequences
Feder, M., Merhav, N., & Gutman, M. (1992) · IEEE Transactions on Information Theory · doi:10.1109/18.144706 · Cited by 373
Bell, T., Witten, I. H., & Cleary, J. G. (1989) · ACM Computing Surveys · doi:10.1145/76894.76896 · Cited by 261
Metadata
- Authors
- Rissanen, J.
- Venue
- IEEE Transactions on Information Theory
- Published
- 1983-09
- Volume
- 29
- Issue
- 5
- Pages
- 656-664
- ISSN
- 0018-9448 (ISSN-L)
- 1557-9654
- OpenAlex
- W2082967074
- Cited by
- 631
- References
- 5
- FWCI
- 2.65
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A universal data compression system. https://app.cochat.ai/papers/10.1109/tit.1983.1056741
- The paper
- Rissanen, J. (1983). A universal data compression system. IEEE Transactions on Information Theory. https://doi.org/10.1109/tit.1983.1056741
Data sources
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.
