Window-Accumulated Subsequence matching Problem is linear
Summary: Tackle window-accumulated subsequence matching: count all length-w text windows that contain pattern p as a subsequence, via a KMP-style automaton generalized to subsequences. Introduce MP-RAMs (a microprocessor-reflective RAM model) and give an online O(n) algorithm for the problem on MP-RAMs. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Luc Boasson (University of Paris 7)
- 2. Patrick Cegielski (University of Paris 12)
- 3. Irène Guessarian (University of Paris 6)
- 4. Yuri Matiyasevich (Steklov Institute of Mathematics; University of Stuttgart)
BibTeX Citation
@inproceedings{boasson_pods99,
address = {New York, NY, USA},
series = {{PODS} '99},
title = {{Window-Accumulated Subsequence matching Problem is linear}},
url = {https://dl.acm.org/doi/10.1145/303976.304008},
doi = {10.1145/303976.304008},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Boasson, Luc and Cegielski, Patrick and Guessarian, Irène and Matiyasevich, Yuri},
year = {1999}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,542 | Online Windowed Subsequence Matching over Probabilistic Sequences | 2012 | SIGMOD | 5.4119882e-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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