Rearranging Data to Maximize the Efficiency of Compression
Summary: Permute categories per attribute to maximize compression of multi-attribute categorical data; deterministic RLE category-rearrangement is NP‑complete via a reduction from rectilinear TSP. Under a probabilistic model the optimal order is a “double pipe organ”, with an O(n^2) algorithm for k‑dimensional data (fixed k). (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Frank Olken (Lawrence Berkeley National Laboratory)
- 2. Doron Rotem (Lawrence Berkeley National Laboratory; University of Waterloo)
BibTeX Citation
@inproceedings{olken_pods86,
address = {New York, NY, USA},
series = {{PODS} '86},
title = {{Rearranging Data to Maximize the Efficiency of Compression}},
url = {https://dl.acm.org/doi/10.1145/6012.15407},
doi = {10.1145/6012.15407},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Olken, Frank and Rotem, Doron},
year = {1986}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,721 | Semantic Compression and Pattern Extraction with Fascicles | 1999 | VLDB | 9.9258415e-05 |
| 11,274 | Partition, Don’t Sort! Compression Boosters for Cloud Data Ingestion Pipelines | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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|---|
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