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CIF 2016 Dataset

Authors: Godahewa, Rakshitha; Bergmeir, Christoph; Webb, Geoff;

CIF 2016 Dataset

Abstract

The Computational Intelligence in Forecasting (CIF) 2016 dataset contains 72 monthly time series originated from the banking domain used in the CIF 2016 forecasting competition. Out of the 72 time series, 24 series contains real-time data while the remaining 48 series are artificially generated. There are two forecast horizons considered in the competition where 57 series consider the forecast horizon as 12 and the remaining 15 series consider the forecast horizon as 6.

{"references": ["Stepnicka, M., Burda, M., 2017. On the results and observations of the time series forecasting competition CIF 2016. In: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). pp. 1\u20136."]}

Related Organizations
Keywords

forecasting, CIF2016

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selected citations
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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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