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Ranked Subsequence Matching in Time-Series Databases

Summary: Introduces ranked subsequence matching under time warping (DTW) for top-k similarity from data sequences, a first-of-its-kind solution. MDMWP-distance enables pre-access pruning; deferred group retrieval and window-group distance cut I/O and accesses. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9787
Venue
VLDB
Year
2007
Pagerank
6.1552372e-05
Overall Rank
5,592 | 61.64%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{han_vldb07,
        title = {{Ranked Subsequence Matching in Time-Series Databases}},
        author = {Han, Wook-Shin and Lee, Jinsoo and Moon, Yang-Sae and Jiang, Haifeng},
        journal = {PVLDB},
        series = {{VLDB} '07},
        pages = {423--434},
        year = {2007}
}

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