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Fast Time-Series Searching with Scaling and Shifting

Summary: Defines time-series similarity under per-sequence scaling and shifting and gives a geometric formulation to determine optimal scale and offset. Leverages that formulation to build a tree-based index for fast, amplitude- and offset-invariant similarity search; validated on stock-price traces. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1178
Venue
PODS
Year
1999
Pagerank
7.2040692e-05
Overall Rank
3,338 | 76.78%
DOI
-

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