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ClaSP: parameter-free time series segmentation

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Bibliographic Details
Main Authors: Arik, Ermshaus, Patrick, Schäfer, Ulf, Leser
Format: Book
Language:English
Published: Springer 2023
Subjects:
TSS
Online Access:https://link.springer.com/article/10.1007/s10618-023-00923-x
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8293
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spelling oai:localhost:PNK-82932023-04-25T07:42:56Z ClaSP: parameter-free time series segmentation Arik, Ermshaus Patrick, Schäfer Ulf, Leser TSS CC BY The study of natural and human-made processes often results in long sequences of temporally-ordered values, aka time series (TS). Such processes often consist of multiple states, e.g. operating modes of a machine, such that state changes in the observed processes result in changes in the distribution of shape of the measured values. Time series segmentation (TSS) tries to find such changes in TS post-hoc to deduce changes in the data-generating process. TSS is typically approached as an unsupervised learning problem aiming at the identification of segments distinguishable by some statistical property. Current algorithms for TSS require domain-dependent hyper-parameters to be set by the user, make assumptions about the TS value distribution or the types of detectable changes which limits their applicability. Common hyper-parameters are the measure of segment homogeneity and the number of change points, which are particularly hard to tune for each data set. We present ClaSP, a novel, highly accurate, hyper-parameter-free and domain-agnostic method for TSS. ClaSP hierarchically splits a TS into two parts. 2023-04-25T07:42:55Z 2023-04-25T07:42:55Z 2023 Book https://link.springer.com/article/10.1007/s10618-023-00923-x https://dlib.phenikaa-uni.edu.vn/handle/PNK/8293 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic TSS
spellingShingle TSS
Arik, Ermshaus
Patrick, Schäfer
Ulf, Leser
ClaSP: parameter-free time series segmentation
description CC BY
format Book
author Arik, Ermshaus
Patrick, Schäfer
Ulf, Leser
author_facet Arik, Ermshaus
Patrick, Schäfer
Ulf, Leser
author_sort Arik, Ermshaus
title ClaSP: parameter-free time series segmentation
title_short ClaSP: parameter-free time series segmentation
title_full ClaSP: parameter-free time series segmentation
title_fullStr ClaSP: parameter-free time series segmentation
title_full_unstemmed ClaSP: parameter-free time series segmentation
title_sort clasp: parameter-free time series segmentation
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s10618-023-00923-x
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8293
_version_ 1764177438767579136
score 8.881002

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