Published January 21, 2021 | Version v1
Dataset Open

Establishing diversity in synthetic time series for prediction performance evaluation

Authors/Creators

  • 1. The Insight Centre for Data Analytics, School of Computing, Dublin City University, Dublin 9, Ireland
  • 2. VistaMilk Research Centre, School of Computing, Dublin City University, Ireland.
  • 3. City University of New York, New York, USA.

Contributors

  • 1. 0000-0002-The Insight Centre for Data Analytics, School of Computing, Dublin City University, Dublin 9, Ireland7297-0984
  • 2. VistaMilk Research Centre, School of Computing, Dublin City University, Ireland.

Description

This dataset enables practitioners to evaluate their time series prediction algorithms on various types of time series

Files

FBahrpeyma Dataset.zip

Files (2.6 GB)

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md5:7f49a528cb324e49581f8df518887eb1
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