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
- 2. Ulf Leser
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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 |
|---|---|---|---|---|
| 1,665 | EntityRank: Searching Entities Directly and Holistically | 2007 | VLDB | 0.00010143618 |
| 6,853 | Relative Lempel-Ziv Factorization for Efficient Storage and Retrieval of Web Collections | 2012 | VLDB | 5.8190903e-05 |
| 12,094 | RCSI: Scalable similarity search in thousand(s) of genomes | 2013 | VLDB | 5.1725247e-05 |
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