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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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TSML Extended Time Series Extrinsic Regression Archive 2024

Research datakeyboard_double_arrow_right Dataset 01 May 2024Publisher:Zenodo
Authors: TSML Archive Maintainers;

doi: 10.5281/zenodo.11236864 , 10.5281/zenodo.11236865

TSML Extended Time Series Extrinsic Regression Archive 2024

Abstract

This is the full set of 63 datasets from the 2024 extended Monash TSER archive (see [1]) maintained by University of Southampton researchers. Please cite the relevant publication or the latest full archive release if you use the datasets. See http://www.timeseriesclassification.com/. [1] Guijo-Rubio, D., Middlehurst, M., Arcencio, G., Silva, D.F. and Bagnall, A., 2024. Unsupervised feature based algorithms for time series extrinsic regression. Data Mining and Knowledge Discovery.

Keywords

tser archive, tsml archive, time series, extrinsic regression

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average