RadixZip: Linear Time Compression of Token Streams
Summary: RadixZip: a linear-time Transform for token streams, rearranging bytes by a radix-sort technique. It outperforms bzip2 on practical token data, is simpler than BWT-based schemes, and exploits cross-stream correlations at no extra cost. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Binh Dao Vo (Google)
- 2. Gurmeet Singh Manku (Google)
BibTeX Citation
@article{vo_vldb07,
title = {{RadixZip: Linear Time Compression of Token Streams}},
author = {Vo, Binh Dao and Manku, Gurmeet Singh},
journal = {PVLDB},
series = {{VLDB} '07},
volume = {30},
number = {2},
pages = {1162--1173},
doi = {10.1145/1323293.1323305},
url = {https://doi.org/10.1145/1323293.1323305},
year = {2007}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,150 | Brighthouse: An Analytic Data Warehouse for Ad-hoc Queries | 2008 | VLDB | 9.081101e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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