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The Inherent Time Complexity and An Efficient Algorithm for Subsequence Matching Problem

Summary: Establishes an SETH-based near-linear lower bound for subsequence matching, even with polynomial preprocessing. Introduces a new series summarization and index supporting Euclidean/DTW distances with z-normalization, achieving 3–12× speedups. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12840
Venue
VLDB
Year
2022
Pagerank
5.3742778e-05
Overall Rank
8,780 | 39.77%
DOI
10.14778/3523210.3523222

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chao_vldb22,
        title = {{The Inherent Time Complexity and An Efficient Algorithm for Subsequence Matching Problem}},
        author = {Chao, Zemin and Gao, Hong and An, Yinan and Li, Jianzhong},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {7},
        pages = {1453--1465},
        doi = {10.14778/3523210.3523222},
        url = {https://doi.org/10.14778/3523210.3523222},
        year = {2022}
}

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