In the paper a relatively simple yet powerful and versatile technique for forecasting time
series data-simple exponential smoothing is described. The simple exponential smoothing …

To forecast future values of a time series is one of the main goals in times series analysis.
Many forecasting methods have been developed and its performance evaluated. In order to …

Time series analysis deals with records that are collected over time. The objectives of time
series analysis depend on the applications, but one of the main goals is to predict future …

In this article the authors expose an automatic procedure that combines a very popular
resampling technique, the Bootstrap methodology, with one of the most widely used …

Boot. EXPOS is an automatic computational procedure for forecasting time series developed
in the environment joining two very popular methodologies: the exponential smoothing and …

The Boot. EXPOS procedure is an algorithm that combines the use of exponential smoothing
methods with the bootstrap methodology for obtaining forecasts. It starts with the selection of …

The performance of software defect prediction heavily suffers from data-imbalance. In this
article, the imbalance problem using SMOTE and resampling methods has been solved. The …

No estudo das séries temporais um dos principais objetivos é obter previsões. Os métodos
de alisamento exponencial (EXPOS) destacam-se pela sua versatilidade na vasta opção de …

The Boot. EXPOS procedure is an algorithm that combines the use of exponential smoothing
methods with the bootstrap methodology for obtaining forecasts. In previous works the …

One of the main goals in times series analysis is to forecast future values. Many forecasting
methods have been developed and the most successful are based on the concept of …