Data Mining - Analysis White Papers
Spatial Data Mining for Retail Sales Forecasting
Overview This paper presents a use case of spatial data mining for aggregate sales forecasting in retail location planning. In particular, the data mining technique Support Vector Regression (SVR) is used to design a regression model to predict probable turnovers for potential outlet-sites of a big European food retailing company. The forecast of potential sites is based on sales data on shop level for existing stores and a broad variety of spatially aggregated geographical, socio-demographical and economical features describing the trading area and competitor characteristics. The model building process was guided by a-priori expert knowledge and by analytic knowledge which was discovered during the data mining process itself. To assess the performance of this SVR-model, it is tested against the traditional state-of-the-art gravitational Huff-model.
| Publisher | University of Girona | File Format | |
|---|---|---|---|
| Date Published | April 2008 | ||
| Format | White Papers | ||
| Topics | |||
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