MRCSI: Compressing and Searching String Collections with Multiple References
Summary: MRCSI: multi-reference compression for dissimilar strings with automatic ref. selection and matching under edit distance. NP-hard to optimize MRCSI; 3 heuristics yield higher compression, a practical trade-off between storage and search efficiency. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Sebastian Wandelt (Humboldt University of Berlin)
- 2. Ulf Leser (Humboldt University of Berlin)
BibTeX Citation
@article{wandelt_vldb15,
title = {{MRCSI: Compressing and Searching String Collections with Multiple References}},
author = {Wandelt, Sebastian and Leser, Ulf},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {5},
pages = {461--474},
doi = {10.14778/2735479.2735480},
url = {https://doi.org/10.14778/2735479.2735480},
year = {2015}
}
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,689 | EntityRank: Searching Entities Directly and Holistically | 2007 | VLDB | 0.00010003102 |
| 6,973 | Relative Lempel-Ziv Factorization for Efficient Storage and Retrieval of Web Collections | 2012 | VLDB | 5.7303405e-05 |
| 12,283 | RCSI: Scalable similarity search in thousand(s) of genomes | 2013 | VLDB | 5.093636e-05 |
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