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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)

Paper ID
1185
Venue
PODS
Year
1999
Pagerank
5.3017894e-05
Overall Rank
9,232 | 36.67%
DOI
10.1145/303976.304008

Incoming Non-self Citations Over Time

Authors

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)

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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)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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