International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 61 - Number 12 |
Year of Publication: 2013 |
Authors: Darshana D. Chande, M. Vijayalakshmi |
10.5120/9982-4812 |
Darshana D. Chande, M. Vijayalakshmi . Classification based Expert Selection for Accurate Sales Forecasting. International Journal of Computer Applications. 61, 12 ( January 2013), 31-38. DOI=10.5120/9982-4812
Forecasting methods used in practice vary from domain to domain. This Paper focuses on sales forecasting. Most of the series considered here are composed of three components-Trend, seasonality and irregular. A series has been decomposed into its three components and multiple forecasters (Experts) have been applied on each component. Then these forecasters are recombined, using Cartesian product of their forecasts, to generate a set of Experts. A classification based scheme is proposed to identify a final good set of Experts which can be used in various combinations to create forecast for each series. Further it has been demonstrated that this forecasting system succeeds in producing a forecast that is more accurate than the Holt Winter method, which is a standard method of forecasting.