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Fast Subsequence Matching in Time-Series Databases

Summary: Maps 1D time-series subsequences to a compact feature-space MBR set; sliding windows yield trails partitioned into sub-trails. Indexing with an R*-tree yields fast, length-agnostic subsequence queries, with 3×–100× speedups over scans (real and synthetic data). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2807
Venue
SIGMOD
Year
1994
Pagerank
0.00046675394
Overall Rank
41 | 99.73%
DOI
10.1145/191839.191925

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{faloutsos_sigmod94,
        title = {{Fast Subsequence Matching in Time-Series Databases}},
        author = {Faloutsos, Christos and Ranganathan, M. and Manolopoulos, Yannis},
        series = {{SIGMOD} '94},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/191839.191925},
        url = {https://dl.acm.org/doi/10.1145/191839.191925},
        year = {1994}
}

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