Application of Hybrid Fourier Wavelet Transform to Data Space Reduction in Clothing Sales Volume Time Series

The main contribution of this article is the application of hybrid Fourier wavelet transform to data space reduction in clothing sales volume time series. We show that hybrid Fourier wavelet transform can be used to reduce the data space of abovementioned time series and gives promising results. The reduction of data space achieved using hybrid Fourier wavelet transform is advantageous when compared to Fourier and wavelet transforms.