Abstract
The transforms between qualitative concepts and their quantitative expressions plan an important role in spatial data mining & knowledge discovery (SDMKD), the cloud theory is this kind of powerful tools. Based on the cloud model, this paper presents a expression method for uncertain direction by using two-dimensional normal cloud, builds a data mining pattern through combining cloud theory and rough sets, proposes a GIS spatial data mining structure system. In this foundation, the process of data mining for GIS spatial data by generalizing attributes based on cloud theory and reducing attributes based on rough sets is given. Finally an example is explained and confirmed this method validity.
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