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Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series

Summary: VALMOD delivers exact, scalable discovery of variable-length motifs in data series, removing the need to predefine motif length. It speeds up discovery by up to 20x versus state-of-the-art and yields more intuitive motifs, validated on five real datasets across diverse domains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5464
Venue
SIGMOD
Year
2018
Pagerank
6.3500768e-05
Overall Rank
4,219 | 70.66%
DOI
10.1145/3183713.3183744

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