Monash Time Series Forecasting Repository

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Published June 11, 2020 | Version 1
Dataset Open

NN5 Daily Dataset (without Missing Values)

Creators

  • 1. PhD Student at Monash University
  • 2. Lecturer at Monash University
  • 3. Professor at Monash University

Description

This dataset was used in the NN5 forecasting competition. It contains 111 time series from the banking domain. The goal is predicting the daily cash withdrawals from ATMs in UK.


The original dataset contains missing values. A missing value on a particular day is replaced by the median across all the same days of the week along the whole series.

Files

Files (1.5 MB)

Name Size Download all
md5:d65edc18b7a8f25d04b40c03806c42d3
1.5 MB Download

Additional details

Related works

Cites
Journal article: 10.1016/j.eswa.2012.01.039 (DOI)
Dataset: http://www.neural-forecasting-competition.com/NN5/ (URL)

References

  • Taieb, S.B., Bontempi, G., Atiya, A.F., Sorjamaa, A., 2012. A review and comparison of strategies for multi-step ahead time series forecasting based on the nn5 forecasting competition. Expert Systems with Applications 39(8), 7067 - 7083.
  • Neural Forecasting Competitions, 2008. NN5 forecasting competition for artificial neural networks and computational intelligence. Accessed: 2020-05-10. URL http://www.neural-forecasting-competition.com/NN5/