Fuzzy Structural Primitives for Spatial Data Mining

− Spatial data mining knows a more and more important interest. Fundamental processes of spatial data mining are in particular clustering and structural patterns detection. These processes are influenced strongly by the concept of proximity or neighborhood. This paper introduces some structures to the construction of a spatial data mining integrating fuzzy structural primitives and propose to open out this system for safety road analysis. We propose also a fuzzy general algorithm permitting to determine partitions for a fuzzy reflexive and symmetrical relation. These investigatings are important for the data analysis and the spatial data mining. The system implmentation uses in particular, the C++/STL, the Microsoft Foundation Class Library (MFC) and MapObjects ActiveX control ( ESRI). The system components architecture is also described in this work.