DBScholar

Back to papers

Scaling and Time Warping in Time Series Querying

Summary: First technique to jointly support DTW and US for time-series similarity, enabling local alignment with global time-scale changes. Demonstrates strong gains across biometrics, motion capture, handwriting, and entertainment, showing practical data-management impact in industry and medicine. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9535
Venue
VLDB
Year
2005
Pagerank
5.6250511e-05
Overall Rank
7,402 | 49.22%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{fu_vldb05,
        title = {{Scaling and Time Warping in Time Series Querying}},
        author = {Fu, Ada Wai-chee and Keogh, Eamonn and Lau, Leo Yung Hang and Ratanamahatana, Chotirat Ann},
        journal = {PVLDB},
        series = {{VLDB} '05},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers