Location Decisions Based On Spatial Data Mining Supermarket Research

Faced with the fierce market competition and an increasingly complex socio-economic environment, scientific site decisions often affects the success of a business entity, the location of store and the commercial nature of its directly impact on the operating results. For the proprietors who prepare to invest, location analysis can identify the most investment potential site. The continued development of data mining technology, especially the wide research and application of spatial data mining technology has been of space has unique advantages to resolve the issue of getting spatial knowledge which provides a feasible new idea for site technology and theory.Spatial data model is the core and foundation of spatial data mining. For this reason, the research on spatial data model has important significance. In order to solve the problem that common spatial-temporal data models usually point to specific application and cannot be universal, this article uses a spatial-temporal data model which has integrative attributive character and spatial-temporal relation. The elements form, information category and seven interrelations between elements of this model are formalized defined. The attribute operation, spatial operation and temporal operation of spatial-temporal objects and operations among them are also showed in this article.Furthermore, with a specific application example of supermarket site, this article uses spatial-temporal data model and combine spatial data mining techniques to research on the issue of decision-making site in Qingdao City supermarkets. On the basis of research results, a decision support system for supermarket site is built. The system overcome the problems that some current site technology are lack of scientific reasonable basis and can't discover the hidden potential useful knowledge when facing to a huge number of heterogeneous spatial data sources. Through the design and implementation, the system is proved that it can provide decision makers with supports to a certain extent.