Abstract
The present disclosure relates to a system and method for finding actionable information in time series based on motif locations. The method includes an analysis computer that obtains time series data. The analysis computer generates a plurality of motifs. For each motif of the plurality of motifs, the analysis computer determines identified locations in the time series data that match the motif and determines a plurality of motif type scores based on the identified locations of the motif. The analysis computer determines a selected motif of the plurality of motifs based on the plurality of motif type scores for each motif of the plurality of motifs.
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This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
YEH, MICHAEL; ZHENG, YAN; and WANG, JUNPENG, "PRIMITIVE FOR FINDING ACTIONABLE INFORMATION IN TIME SERIES BASED ON MOTIF LOCATIONS", Technical Disclosure Commons, (July 01, 2026)
https://www.tdcommons.org/dpubs_series/10784