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Subsequence Matching on Structured Time Series Data

Summary: Leverages time-series structure with a piecewise-linear representation from a state machine for subsequence matching. Introduces subsequence stability and weighted L1 similarity prioritizing frequency and timing, enabling radiotherapy motion analysis. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3738
Venue
SIGMOD
Year
2005
Pagerank
5.9483531e-05
Overall Rank
6,189 | 57.54%
DOI
10.1145/1066157.1066235

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wu_sigmod05,
        title = {{Subsequence Matching on Structured Time Series Data}},
        author = {Wu, Huanmei and Salzberg, Betty and Sharp, Gregory C and Jiang, Steve B and Shirato, Hiroki and Kaeli, David},
        series = {{SIGMOD} '05},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1066157.1066235},
        url = {https://dl.acm.org/doi/10.1145/1066157.1066235},
        year = {2005}
}

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