Resampling Strategies for Imbalanced Time Series Forecasting (Code + Data)

In this repository you will find the code and data used to execute the experimental process (designed for R) in the submitted article "Resampling Strategies for Imbalanced Time Series Forecasting". This article was written by Nuno Moniz, Paula Branco and Luís Torgo. It was submitted to the International Journal of Data Science and Analytics (Springer).

Important:
This code requires the use of the R package uba.
You may install this package using the command:
install.packages("http://www.dcc.fc.up.pt/~rpribeiro/uba/uba_0.7.6.tar.gz",repos=null,dependencies=TRUE)