Abstract: This paper proposed a method of co-location pattern mining over uncertain data based on DS evidence theory.Firstly,the spatial objects were classified into data subsets.Then,selecting the instances of a spatial object from the classified subsets successively matched each instance in the rest of spatial object subsets.Finally,for using DS theory to solve co-location pattern mining,the found instance relations were recorded into a new table.In this paper,a new perspective to study the co-location mining.Based on the DS theory,a new concept of the participation index was defined,and a co-location pattern mining algorithm was designed based on the new definition.