Year-end Sale % OFF 
Abstract
Spatial Data mining (SDM) is a special form of Data Mining. In Spatial Data Mining, the relations considered are spatial relations such as topology or distance. The data mining technique used in this research will develop a model to predict probable turnovers for potential outlets of a retail organization. The forecast of potential sites is based on sales data on shop level for existing stores and economical features describing the trading area and customer characteristics.The model provided in this paper is based on Microsoft Sequel Server 2008 and Decision Trees Algorithm, the database is designed and the mining model is automatically generated by the server. The model is generalized and can be applied to any retail organization.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
