Mining Maximal Fuzzy Colocation Patterns

Spatial colocation pattern mining is to discover the subsets of spatial objects frequently appearing together in adjacent geographic locations. In existing research, several algorithms were proposed for excavating maximal prevalent patterns. Furthermore, fuzzy neighborhood relationship(FNR) was employed evaluate proximity between instances improving accuracy results. However, approach discovering patterns based on FNR not studied yet. This paper defines (MFPCP). We propose a algorithm generate MFPCPs instead all conduct experiments real datasets performance algorithm.