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Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds.

, , , , and . ICDM, page 837-846. IEEE Computer Society, (2018)

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Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds., , , , and . ICDM, page 837-846. IEEE Computer Society, (2018)Matrix Profile XXVI: Mplots: Scaling Time Series Similarity Matrices to Massive Data., , , , , , and . ICDM, page 1179-1184. IEEE, (2022)Introducing Mplots: scaling time series recurrence plots to massive datasets., , , , , , , and . J. Big Data, 11 (1): 96 (December 2024)Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins., , , , , , , and . ICDM, page 739-748. IEEE Computer Society, (2016)Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins., , , , , , , and . Knowl. Inf. Syst., 54 (1): 203-236 (2018)The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code., , , , , , , , , and 2 other author(s). Data Min. Knowl. Discov., 34 (4): 949-979 (2020)FA-LAMP: FPGA-Accelerated Learned Approximate Matrix Profile for Time Series Similarity Prediction., , and . FCCM, page 40-49. IEEE, (2021)Matrix Profile Index Approximation for Streaming Time Series., , , , , , and . IEEE BigData, page 2775-2784. IEEE, (2021)Designing a robot through prototyping in the wild., , , and . HRI, page 239-240. ACM, (2011)Matrix Profile XVIII: Time Series Mining in the Face of Fast Moving Streams using a Learned Approximate Matrix Profile., , , , , , and . ICDM, page 936-945. IEEE, (2019)