关键词: 空间模式挖掘, co-location模式, 本体, 地址选择

Abstract: Site selection is one of the most crucial decisions made by any business. The existing approaches for site selection（commonly used by economists） are subjective, not scalable. Spatial co-location patterns represent the subsets of spatial features whose instances are frequently located together in geographic space. Thus, a novel method for site selection based on co-locations is proposed using the “symbiotic” characteristics among spatial features in co-locations. This method uses ontologies to classify the input data effectively, and then performs a co-location mining on the certain POI given by the user based on ontologies, the result co-location patterns are then used to conduct the method to give the final site recommendation in a certain location specified by the user, meanwhile, several strategies are performed in data pre-processing in order to improve the effectiveness of the proposed method. To assess the effectiveness of the presented method, it is evaluated on a real data （collected from Points of Interests in Beijing）. Evaluation results show that the proposed method has high accuracy ratio, which means high reliability in site selection.

Key words: spatial data mining, co-location pattern, ontology, site selection