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Finding Semantics in Time Series

Summary: Proposes pattern-based HMM (pHMM) to reveal the data-generating process behind time series, tying patterns to the system's dynamics. Iterative refinement uses pHMM to guide segmentation and clustering, with pruning strategies to speed learning. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4398
Venue
SIGMOD
Year
2011
Pagerank
8.3234371e-05
Overall Rank
2,680 | 81.36%
DOI
-

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