tsmp: An R Package for Time Series with Matrix Profile

Abstract:

This article describes tsmp, an R package that implements the MP concept for TS. The tsmp package is a toolkit that allows all-pairs similarity joins, motif, discords and chains discovery, semantic segmentation, etc. Here we describe how the tsmp package may be used by showing some of the use-cases from the original articles and evaluate the algorithm speed in the R environment. This package can be downloaded at https://CRAN.R-project.org/package=tsmp.

Cite PDF Tweet

Published

Sept. 9, 2020

Received

Jan 4, 2019

DOI

10.32614/RJ-2020-021

Volume

Pages

12/1

76 - 86

Supplementary materials

Supplementary materials are available in addition to this article. It can be downloaded at RJ-2020-021.zip

CRAN packages used

tsmp

CRAN Task Views implied by cited packages

Footnotes

    Reuse

    Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".

    Citation

    For attribution, please cite this work as

    Bischoff & Rodrigues, "The R Journal: tsmp: An R Package for Time Series with Matrix Profile", The R Journal, 2020

    BibTeX citation

    @article{RJ-2020-021,
      author = {Bischoff, Francisco and Rodrigues, Pedro Pereira},
      title = {The R Journal: tsmp: An R Package for Time Series with Matrix Profile},
      journal = {The R Journal},
      year = {2020},
      note = {https://doi.org/10.32614/RJ-2020-021},
      doi = {10.32614/RJ-2020-021},
      volume = {12},
      issue = {1},
      issn = {2073-4859},
      pages = {76-86}
    }