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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)

Paper ID
751
Venue
PODS
Year
1986
Pagerank
5.7469443e-05
Overall Rank
6,882 | 52.79%
DOI
10.1145/6012.15407

Incoming Non-self Citations Over Time

Authors

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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